System for and Method of Detecting Interference in a Communication System

Abstract

A system for and method of detecting interference in a communication system. In an embodiment, a receiver acquires a communication signal, the communication signal comprising a carrier signal and an in-band interference signal. A signal processor conditions the communication signal and extracts the in-band interference signal without interrupting the carrier signal to form an error signal. The error signal is representative of the in-band interference signal. The signal processor is further configured to process the error signal to obtain one or more spectral properties of the error signal in a manner suitable for display.

Description

This application claims the benefit of U.S. Provisional Application Ser. No. 60/361,493, filed Mar. 4, 2002, the contents of which are hereby incorporated by reference.

FIELD OF THE INVENTION

The invention relates to detection of interference and noise in a transmitted signal.

DESCRIPTION OF THE RELATED ART

Interference (including noise) showing up in-band to a transmitted carder is a common problem in wireless communication systems. For example, in satellite communication systems, interference can be caused by, but is not limited to, isolation degradation of cross-polarized signals, adjacent satellite traffic, locally received terrestrial signals, or an unauthorized transmission. In many cases, interference can be very difficult to detect, however, its impact on the receive quality of the transmitted digital carrier can be significant.

The most common approach to determining the presence of interference is to temporarily remove the service (the transmitted carrier) and inspect the received power spectrum with a frequency analysis device such as a spectrum analyzer. Although this approach can be effective, it causes a service interruption that can last for many hours. In some cases, interference is not the problem, and the service was interrupted unnecessarily.

BRIEF SUMMARY OF THE INVENTION

The invention includes a method of and an apparatus for detecting and measuring noise and interference, which is in-band to a received communications carrier. To alleviate drawbacks to conventional approaches, the applicant has developed a non-intrusive interference detection and noise measurement approach. With this approach, interference and noise can be detected and measured without taking the carrier out of service. Rather, the measurements are made while the communications circuit (the transmitted carrier) is active.

In one aspect, in-band interference in a carrier signal in a communication system is detected. A signal is acquired including the carrier signal and an interfering signal. The interfering signal is extracted from the carrier without interrupting the carrier.

In another aspect, a signal is received, filtered, and digitized. Decimation is then performed and the signal resampled. Blind equalization and demodulation are performed thereby forming an error vector that is representative of the interference signal.

In yet another aspect, a receiver acquires a digital signal. A signal processor conditions the digital signal, and a blind equalizer demodulator forms an error vector that is representative of an interference signal included in the carrier signal.

These and other aspects are described in more detail herein.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 illustrates a flow diagram showing the main processing associated with this invention;

FIG. 2 shows a detailed flow diagram of the processing associated with this invention; and

FIG. 3 illustrates a system in accordance with an embodiment of the present invention; and

FIG. 4 shows a graphical display that might be displayed to a user of this invention.

DETAILED DESCRIPTION OF INVENTION

FIG. 1 shows a flow diagram of a process 100 in accordance with an aspect of the present invention. A signal, which contains noise and interference, is received in a step 101. The signal is down-converted to an intermediate frequency (IF) and then digitized by a sampling device, in an acquisition step 102. The digital samples are stored in memory for further processing, also in the acquisition step 102. Using the stored samples, the signal is processed to create a re-sampled baseband version of the received signals, in a digital formatting step 103. Using this re-sampled baseband signal, an equalized error signal is created, in an interference processing step 104. This error signal is further processed to create a power spectrum of the underlying noise and interference contained in the received carrier, also in the interference processing step 104. This power spectrum of the noise and interference can be measured for interfering signals as well as displayed to the user, in an output step 105.

FIG. 2 is a more detailed flow diagram of a process 200 in accordance with an embodiment of the present invention. An input signal may be a radio frequency (RF) signal from an antenna. Alternatively the input signal may be any communication signal in any frequency band i.e. RF, IF, microwave or optical.

FIG. 3 illustrates a system 400 in accordance with an embodiment of the present invention. The system 400 detects and measures in-band interference and noise in an input signal 407 in accordance with the method of FIG. 2. An input signal 407 is received from a satellite 401 by a satellite dish 402. The input signal 407 may be transmitted by means other than the satellite 401, including but not limited to a radio transmitter, a cable transmitter, a cell tower, a microwave transmitter, or an optical transmitter. The input signal 407 may be received by means other than the satellite dish 402, including but not limited to an antenna, a microwave dish, or an optical receiver. The present invention is applicable to any system that communicates a digital signal from a transmitter to a receiver, regardless of the medium or the carrier frequency.

Referring to FIGS. 2 and 3, a receiver 403 may convert the input signal 407 from an RF input signal 407 to an IF signal in a step 201. The IF signal may be at any frequency that makes the following detection simpler, cheaper, or more accurate. The receiver 403 may further filter and adjust the level of a signal, which is representative of the input signal 407 in a step 202. The receiver 403 may filter the input signal 407 with a band-pass filter to limit the input signal 407 or its representative to the carrier and its modulation. An amplifier with automatic gain control may adjust the level of the filtered input signal 407 or its representative, also in the step 202. The input signal 407 may be amplified to take full advantage of an A/D converter in the receiver 403. The A/D converter is expected to perform best when the full amplitude bandwidth is used.

The A/D converter, in the step 203, produces a digitized version of the filtered IF signal. The A/D converter may sample the IF signal at a frequency at least twice the frequency of the highest frequency of interest in accordance with Nyquist's theorem, though another sampling frequency may be used. The digitized version of the IF signal is then stored as a snapshot 408 in a step 204. The above steps 201-204 may comprise the acquisition step 102 of FIG. 1.

A signal processor 404 may analyze the snapshot 408 to calculate parameters representative of the input signal 407 including, a bandwidth of the input signal 407, a center frequency of the input signal 407, a symbol rate of the input signal 407, amplitudes of the carrier lines, frequencies of the cater lines, and maximums of the carrier lines.

In a next step 205 of the process 200, a power spectrum of the snapshot 408 is calculated by the signal processor 404. Multiple power spectrums may be calculated and averaged together, to create a spectral density periodogram. The power spectrum may be calculated using conventional Fast-Fourier Transform (FFT) methods, for converting the IF signal from time space to complex frequency space. Other methods beside FFT may be used to convert the IF signal to frequency space. The power spectrum or the spectral density periodogram may be displayed to user at this time.

The input signal may be a modulated carrier. The center frequency and bandwidth (BW) of the carrier may be calculated by a signal processor 404 in a step 206 using the power spectrum or the spectral density periodogram of the IF signal from step 205. If the center frequency and the bandwidth are already known, however, then the steps 205 and 206 may be skipped.

Once the center frequency of the carrier is known, down-converting of snapshot 408 to the baseband of the carrier may be performed in step 207 by the signal processor 404. The snapshot 408 may be further filtered such that the signal is limited in bandwidth to that of the baseband signal, also in step 207. Further, the snapshot 408 may be decimated also in a step 207. Decimation may be performed at a frequency at least twice the frequency of the highest frequency of interest in accordance with Nyquist's theorem.

The carrier signal may have multiple carrier lines. In a step 208, information about the carrier such as symbol rate, and estimates of the amplitude and frequency of the carrier lines may be calculated. This information may be calculated by performing magnitude, square, cube and quad power transforms on the signal and recovering the maximums.

The estimates of the amplitude and frequency of the carrier lines may be used to determine the modulation of the digital carrier and the frequency in a step 209. By inspecting maximums of the carrier lines, the modulation of the carrier may be determined. Using information about the carrier frequency, any down-conversion error in the decimated signal may be removed in a step 210. For example if the baseband signal is offset, it may be recentered such that any offset in the carrier frequency is removed.

In a step 211, the carrier signal may be re-sampled by the signal processor 404, such as at a sample rate of two samples per symbol, and a resampled signal may be an output. This sample rate may be determined from the symbol rate calculated in the step 208. The above steps 205-211 may be performed in the digital formatting step 103 of FIG. 1.

A blind equalizer demodulator 405 may calculate an error vector that is representative of the interference signal in the input signal 407 in a step 212. This step produces an error vector that may be used to calculate the interference signal that is in the input signal 407. A digital communication system modulates a carrier wave for transmitting symbols to a receiver. In such a digital system, each symbol has discrete levels of amplitude and/or phase at which the carrier is modulated. A goal of the demodulator 405 is to determine the levels at which the carrier is modulated. It does this by making a first initial guess of the modulation levels and then calculating an error vector that represents the difference between the initial guess and the measured signal. Then the guessed modulation levels are adjusted to minimize an error function based on the error vectors. The guessed modulation levels are continuously adjusted until the error function has been minimized, at which point the modulation has converged. There are many ways to adjust the levels, including decision directed least mean square (DD-LMS) and constant modulus algorithm (CMA), both of which are well known in the literature. Conventionally the blind equalizer demodulator 405 is used to calculate the symbols in the input signal 407. Here, the output of interest is the error vector as opposed to the prior art where the output of interest is the symbols.

In a step 213, a first M samples are removed from the error vector to produce a new en-or vector. Depending on the quality of the initial first guess, the first M samples may have large error vectors that do not truly represent the noise and interference in the input signal 407. Before the blind equalizer demodulator 405 converges in the step 212, the first M samples of the error vector may contain errors. The DC bias of the new error vector is removed in a step 214, by subtracting the mean of the new error vector from the new error vector to produce an in-band vector that is representative of noise and interference in-band to the carrier. Any processing artifacts may also be removed in the step 214. The power spectrum of the in-band vector is calculated to convert the complex time representation of the in-band vector into a frequency domain representation, in a step 215. In a step 216 the spectral properties of the in-band vector are measured such as center frequency, BW, power, C/N and detected interference energy. The above steps 212-216 may comprise the interference processing step 104 of FIG. 1 preformed by signal processor 405.

A power spectrum of the error vector, such as a trace 302 in a FIG. 4, may be sent to a display 406 for presentation to a user in a step 105. A power spectrum of the input signal 407, such as trace 301 in FIG. 4, may also be sent to the display 406 also in step 105. Furthermore, the spectral properties of the en-or vector may be sent to the display 406. Other calculations regarding the digital signal may also be sent to the display 406.

The system described in FIG. 3 may also implement all the steps in the flowchart 200 of FIG. 2 and Table 1 as follows. The system may be implemented in hardware and/or software. The system may be implemented in a standard PC and/or may be implemented with custom electronics.

Table 1 presents the method of FIG. 2 in tabular format.

TABLE 1
Functional Block	Input	Description	Output
RF Down-conversion	From Antenna	Convert RF signal to	IF representation of
(201)		IF Frequency	signal
Filtering and Gain Control	IF Signal	Band-limit signal and	Filtered and amplified
(202)		adjust signal level for	signal
		A/D Converter
A/D Conversion (203)	Filtered IF Signal	Convert analog signal	Samples of IF signal
		at IF to digital
		samples
Snapshot Memory (204)	Samples of IF Signal	Store IF samples	Samples of IF signal
PSD Computation (205)	Samples of IF Signal	Convert time domain	Power spectrum
		representation of
		signal to frequency
		domain
		representation.
Spectral Detection and	Power Spectrum	Detect and measure	Center frequency and
Measurement (206)		carrier of interest	BW of carrier to
			analyze
Down-convert and	Samples of IF signal,	Down-convert carrier	Decimated signal
decimate (207)	center frequency and	to baseband, filter and	(complex signal
	BW estimation	decimate	representation) and
			decimated sample
			rate
Carrier and Baud	Decimated Signal	Perform magnitude,	Symbol rate,
Recovery (208)		square, cube and	estimates of
		quad power	amplitude and
		transforms on signal.	frequency of carrier
		Recover maximums	lines
Modulation Identification	Estimates of amplitude	Determine Modulation	Modulation of digital
(209)	and frequencies of	of digital carrier by	carrier and Carrier
	carrier lines	inspecting carrier line	frequency
		maximums
Carrier Correction (210)	Decimated signal and	Remove	Decimated signal
	Carrier frequency	down-conversion error
		from decimated signal
Re-sampler (211)	Decimated signal,	Re-sample carrier to 2	Re-sampled signal
	Decimated sample	samples/symbol
	rate and symbol rate
	of carrier
Equalizer/Demodulator	Resampled Signal	Equalize and	Estimated symbols
(212)		demodulate signal	and Error vector
		using blind
		equalizer/demodulator
		approach
Remove M Initial samples	Error Vector	Remove first M	New Error Vector
(213)		samples from Error
		vector. First M
		samples contain
		errors from matched
		filter error
DC bias removal (214)	New Error Vector	Remove mean from	In-band vector
		New Error Vector	(represents noise and
			interference in-band
			to carrier)
PSD Computation (215)	In-band vector	Convert complex time	In-band spectrum
		domain in-band vector
		to a frequency domain
		representation
Spectral detection and	In-band Spectrum	Detect and measure	In-band spectral
measurement (216)		any spectral energy	measurements
			(Center frequency,
			BW, power, and C/N
			of any detected
			interference energy)
Display (217)	In-band Spectrum and	Display spectrum and	Done
	In-band spectral	measurement results
	measurements	to user

FIG. 4 shows a graphical display 300 of data that the invention may present to a user. The trace 301 represents the power spectrum of the received carrier, and the trace 302 represents the power spectrum of the noise and interference, which are in-band to the received carrier. In this example, an interfering signal can be seen in the trace 302, which is not visible in the received carrier trace 301.

Thus, a technique has been described for detecting and measuring interference within a digital carrier. The process can be completely blind, meaning that the process described above will work even when the digital carrier's RF and modulation parameters are unknown. The process described detects the RF carrier, measures its RF and modulation parameters, equalizes and demodulates the digital carrier, extracts an error vector, converts this error vector into a complex baseband estimate of the noise and interference. From this estimate, a power spectrum of the in-band noise and interference is created. This power spectrum is analyzed for spectral energy. The in-band spectrum and measurement results are displayed for a user.

While the foregoing has been with reference to particular embodiments of the invention, it will be appreciated by those skilled in the art that changes in these embodiments may be made without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims.

Claims

1-38. (canceled)

39. A system for detecting in-band interference in a communication system comprising:

a receiver for acquiring a communication signal, the communication signal comprising a carrier signal and an in-band interference signal; and

a signal processor for conditioning the communication signal and extracting the in-band interference signal without interrupting the carrier signal to form an error signal that is representative of the in-band interference signal and wherein the signal processor is further configured to process the error signal to obtain one or more spectral properties of the error signal in a manner suitable for display.

40. The system according to claim 39, wherein the carrier signal comprises a radio-frequency signal and said conditioning the communication signal includes down-converting the communication signal, wherein the signal processor is without knowledge of radio-frequency or modulation parameters of the carrier signal.

41. The system according to claim 39, wherein the carrier signal comprises a radio-frequency signal and said conditioning the communication signal includes down-converting the communication signal, wherein the signal processor is with knowledge of radio-frequency or modulation parameters of the carrier signal.

42. The system according to claim 39, wherein the communication signal further comprises noise.

43. The system according to claim 39, wherein the communication system performs as a wireless communication system.

44. The system according to claim 39, wherein the communication system performs as a satellite communication system.

45. The system according to claim 39, wherein the receiver is further configured to store a digitized filtered signal in memory.

46. The system according to claim 39, wherein the signal processor is further configured to calculate a center frequency and a bandwidth of the carrier signal.

47. The system according to claim 39, wherein the signal processor is further configured to down convert the digital signal to the baseband of the carrier signal.

48. The system according to claim 39, wherein the signal processor is further configured to perform blind equalization.

49. The system according to claim 48, wherein the error signal comprises an error vector and the signal processor is further configured to remove M initial samples of the error vector, wherein the M initial samples occur while the blind equalization is converging.

50. The system according to claim 39, wherein the signal processor is further configured to remove a DC bias from the error signal.

51. The system according to claim 39, wherein the receiver is further configured to receive the signal, filter the signal and digitize the filtered signal.

52. The system according to claim 39, wherein the spectral properties are selected from a group consisting of a power spectrum of the interference signal and a detected energy of the interference signal.

53. The system according to claim 39, wherein the spectral properties are selected from a group consisting of a center frequency of the interference signal and a bandwidth of the interference signal.

54. The system according to claim 39, further comprising a display that displays the one or more spectral properties.

55. A method of detecting in-band interference in a communication system comprising steps of:

acquiring a communication signal, the communication signal comprising a carrier signal and an in-band interference signal, said acquiring including receiving the communication signal at a receiver;

processing the communication signal to extract the interference signal without interrupting the carrier signal to form an error signal that is representative of the interference signal;

processing the error signal to obtain one or more spectral properties of the error signal; and

displaying the one or more spectral properties.

56. The method according to claim 55, wherein the carrier signal comprises a radio-frequency signal and said processing the communication signal includes down-converting the communication signal, said processing being performed without knowledge of radio-frequency or modulation parameters of the carrier signal.

57. The method according to claim 55, wherein the carrier signal comprises a radio-frequency signal and said processing the communication signal includes down-converting the communication signal, said processing being performed with knowledge of radio-frequency and modulation parameters of the carrier signal.

58. The method according to claim 55, further comprising extracting noise from the communication signal.

59. The method according to claim 55, wherein the communication system performs as a wireless communication system.

60. The method according to claim 55, wherein the communication system performs as a satellite communication system.

61. The method according to claim 55, wherein said acquiring the communication signal includes storing a digitized filtered signal into memory.

62. The method according to claim 55, wherein processing the communication signal includes calculating a center frequency and a bandwidth of the carrier signal.

63. The method according to claim 55, wherein said processing the communication signal includes down-converting the communication signal to baseband of the carrier signal.

64. The method according to claim 55, wherein said processing the communication signal includes performing a blind-equalization process.

65. The method according to claim 64, wherein the error signal comprises an error vector and further comprising removing M initial samples of the error vector, wherein the M initial samples occur while the blind equalization process is converging.

66. The method according to claim 55, including removing a DC bias from the error signal.

67. The method according to claim 55, wherein the spectral properties are selected from a group consisting of a power spectrum of the interference signal and a detected energy of the interference signal.

68. The method according to claim 55, wherein the spectral properties are selected from a group consisting of a center frequency of the interference signal and a bandwidth of the interfering signal.