Abstract: A network node for a wireless communication system is configured to localize a user node in a first localization operation carried out at a first frequency; determine an accuracy value associated with the first localization operation; and adjust at least one beam parameter for radio beams to be used in a second localization operation based on the determined accuracy value, the second localization operation carried out at a second frequency that is greater than the first frequency. The network node is configured to determine the accuracy value associated with the first localization operation by tracking a rate of change of an angle of a radio beacon signal transmitted from the user node relative to the network node.

Abstract: Althrough orthonormal space-time coding matrices provide for optimal communication system performance in that associated correlation matrices include no non-zero off-diagonal elements, unity code rate orthonormal coding matrices are difficult to identify for arbitrary communication network equipment. According to embodiments of the present invention, non-orthonormal space-time coding matrices, for which associated correlation matrices include non-zero off-diagonal elements, are used to encode data symbols. The non-orthonormal space-time coding matrices are more easily determined, and undesirable effects of the non-zero off-diagonal components are reduced by selecting a coding matrix from among a number of such matrices. For example, a particular space-time coding matrix may be selected from a number of generated space-time coding matrices based on a number of non-zero off-diagonal elements or a power of a trace of the associated correlation matrices.

Abstract: A signal processing circuit is configured to calculate a gain ratio to efficiently reduce a peak to average signal ratio for an input signal by identifying signal peaks and determining the signal peak magnitudes. A window function in combination with the gain ratio is applied to a portion of the input stream having a peak signal to create a cancellation pulse to be applied to that peak signal. The cancellation pulse phase is aligned with the signal phase, thereby causing minimal phase distortion in the resultant output signal and accurate peak cancellation. The cancellation pulse can also include a finite impulse response filter portion to efficiently handle wide bandwidth signals. The hardware may be configured to process multiple signal streams in parallel to reduce hardware requirements. An algorithm can determine the effect of multiple corrections to the input stream to avoid overcorrection in the signal processing process.

Abstract: A receiver (e.g., for a 10 G fiber communications link) includes an interleaved ADC coupled to a multi-channel equalizer that can provide different equalization for different ADC channels within the interleaved ADC. That is, the multi-channel equalizer can compensate for channel-dependent impairments. In one approach, the multi-channel equalizer is a feedforward equalizer (FFE) coupled to a Viterbi decoder, for example a sliding block Viterbi decoder (SBVD); and the FFE and/or the channel estimator for the Viterbi decoder are adapted using the LMS algorithm.