Abstract: An FMCW radar is used to detect live objects by processing the matched, filtered radar return on a frame by frame basis. An FFT cross correlation coefficient is computed, followed by computing a modified geometric mean of the absolute value of the cross correlation coefficients. The modified geometric mean is then compared to a preset threshold to determine whether the object is moving or is stationary.

Abstract: Camera-assisted tracking of point objects in a radar system is provided. An extended Kalman filter framework based on both radar and camera observations is used to track point objects detected in frames of radar signal data. This framework provides a minimum mean square estimation of the current state of a point object based on previous and current observations from both frames of radar signals and corresponding camera images.

Abstract: A method for tracking objects in three dimensions in a radar system is provided that includes receiving spherical coordinates of an estimated location of each object of a plurality of detected objects, a range rate of each object, and variances for the spherical coordinates and the range rate of each object, determining whether or not each object is currently being tracked, updating a tracking vector for an object based on the object spherical coordinates, range rate, and variances when the object is currently being tracked, and initializing a tracking vector for an object when the object is not currently being tracked, wherein a tracking vector for an object is a process state vector for an extended Kalman filter designed to track an object, elements of the tracking vector including Cartesian coordinates of the object location, the object velocity in three directions, and the object acceleration in three directions.

Abstract: A method and a system for echo cancellation. The method includes receiving incoming downlink signal sample, performing Kalman filter time update of linear filter, constructing data matrix for linear filter adaptation, performing Kalman filter measurements update on linear filter, performing Kalman filter time update on non-linear filter, constructing data matrix for non-linear filter adaptation, performing Kalman filter measurements update on non-linear filter, generating echo using adapted linear and non-linear filters, subtracting the echo from microphone signal to generate echo free uplink signal, and uplinking the echo free signal to the far-end.

Abstract: A method for acoustic echo cancellation in a communication device is provided that includes receiving a first near-end audio signal in the communication device, wherein the first near-end audio signal comprises acoustic echo of a far-end audio signal reproduced by the communication device, and performing echo cancellation on the first near-end audio signal to generate a second near-end audio signal with at least some of the acoustic echo removed, wherein the echo cancellation is performed responsive to presence or absence of double-talk (DT), and wherein a zero-crossing rate (ZCR) is used to detect the presence or absence of DT.

Abstract: In response to a first envelope within a kth frequency band of a first channel, a speech level within the kth frequency band of the first channel is estimated. In response to a second envelope within the kth frequency band of a second channel, a noise level within the kth frequency band of the second channel is estimated. A noise suppression gain for a time frame n is computed in response to the estimated speech level for a preceding time frame, the estimated noise level for the preceding time frame, the estimated speech level for the time frame n, and the estimated noise level for the time frame n. An output channel is generated in response to multiplying the noise suppression gain for the time frame n and the first channel.

Abstract: A method of interference suppression is provided that includes receiving a first audio signal from a first audio capture device and a second audio signal from a second audio capture device wherein the first audio signal includes a first combination of desired audio content and interference and the second audio signal includes a second combination of the desired audio content and the interference, performing blind source separation using the first audio signal and the second audio signal to generate an output interference signal and an output audio signal including the desired audio content with the interference suppressed, estimating interference remaining in the output audio signal using the output interference signal, and subtracting the estimated interference from the output audio signal to generate a final output audio signal with the interference further suppressed.

Abstract: A method of interference suppression is provided that includes receiving a first audio signal from a first audio capture device and a second audio signal from a second audio capture device wherein the first audio signal includes a first combination of desired audio content and interference and the second audio signal includes a second combination of the desired audio content and the interference, performing blind source separation using the first audio signal and the second audio signal to generate an output interference signal and an output audio signal including the desired audio content with the interference suppressed, estimating interference remaining in the output audio signal using the output interference signal, and subtracting the estimated interference from the output audio signal to generate a final output audio signal with the interference further suppressed.

Abstract: A method for acoustic echo cancellation in a communication device is provided that includes receiving a first near-end audio signal in the communication device, wherein the first near-end audio signal comprises acoustic echo of a far-end audio signal reproduced by the communication device, and performing echo cancellation on the first near-end audio signal to generate a second near-end audio signal with at least some of the acoustic echo removed, wherein the echo cancellation is performed responsive to presence or absence of double-talk (DT), and wherein a zero-crossing rate (ZCR) is used to detect the presence or absence of DT.

Abstract: In response to a first envelope within a kth frequency band of a first channel, a speech level within the kth frequency band of the first channel is estimated. In response to a second envelope within the kth frequency band of a second channel, a noise level within the kth frequency band of the second channel is estimated. A noise suppression gain for a time frame n is computed in response to the estimated speech level for a preceding time frame, the estimated noise level for the preceding time frame, the estimated speech level for the time frame n, and the estimated noise level for the time frame n. An output channel is generated in response to multiplying the noise suppression gain for the time frame n and the first channel.

Abstract: A system and method for time domain interpolation of signals for channel estimation. A method for computing channel estimates comprises storing symbols in a buffer, using time domain interpolation (TDI) for a first time to compute channel estimates for a set of sub-carriers of a symbol. The channel estimates are computed from the symbol and a first number of required symbols in the buffer. The method also comprises using TDI for a second time to compute channel estimates for the set of sub-carriers of a symbol. The channel estimates are computed from the symbol, a second number of required symbols in the buffer, and a buffered symbol used as a missing required symbol if the missing required symbol is not in the buffer.

Abstract: A method and apparatus for cross-talk resistant adaptive noise cancellation.

Abstract: A method and apparatus for cross-talk resistant adaptive noise cancellation.

Abstract: A method of interference suppression is provided that includes receiving a first audio signal from a first audio capture device and a second audio signal from a second audio capture device wherein the first audio signal includes a first combination of desired audio content and interference and the second audio signal includes a second combination of the desired audio content and the interference, performing blind source separation using the first audio signal and the second audio signal to generate an output interference signal and an output audio signal including the desired audio content with the interference suppressed, estimating interference remaining in the output audio signal using the output interference signal, and subtracting the estimated interference from the output audio signal to generate a final output audio signal with the interference further suppressed.

Abstract: A system and method for time domain interpolation of signals for channel estimation. A method for computing channel estimates comprises storing symbols in a buffer, using time domain interpolation (TDI) for a first time to compute channel estimates for a set of sub-carriers of a symbol. The channel estimates are computed from the symbol and a first number of required symbols in the buffer. The method also comprises using TDI for a second time to compute channel estimates for the set of sub-carriers of a symbol. The channel estimates are computed from the symbol, a second number of required symbols in the buffer, and a buffered symbol used as a missing required symbol if the missing required symbol is not in the buffer.

Abstract: A method of performing wireless communications. The method comprises, at a transmitting station, encoding a plurality of symbols into a frame. The method further comprises, from the transmitting station, transmitting the frame via a wireless communication to a receiving station. The frame comprises a plurality of sub-frames, wherein a first sub-frame in the plurality of sub-frames consists of a first number of symbols and a second sub-frame in the plurality of sub-frames consists of a second number of symbols. Finally, the first number differs from the second number.

Abstract: A Hybrid IMMSE-LMMSE receiver processing technique predicts performance of and selects between iterative and non-iterative decoding of symbols based on an intelligent metric. Based on a pre-specified criterion, the receiver determines if a correct first-stage decision is made or not. If a correct decision is made, then it follows iterative processing like in BLAST. Alternatively, if a wrong decision is found to have occurred, the receiver resorts to LMMSE estimation processing.