Abstract:
Non-linear interference cancellation techniques are provided for wireless transceivers. Non-linear reduction of interference of a transmit signal on a received signal in a transceiver device, comprises applying the transmit signal to a first non-linear system; applying the received signal to a second non-linear system; and subtracting an output of the first non-linear system output from an output of second non-linear system output to produce an interference mitigated received signal. The first non-linear system and/or the second non-linear system can be implemented using one or more of a Volterra series and a Generalized Memory Polynomial Model. System parameters of the first non-linear system and/or the second non-linear system are adapted to reduce a power of the interference mitigated received signal.
Abstract:
Software implementations are provided for performing IQ imbalance correction and/or RF equalization. An input signal, x, is processed in software by executing a vector convolution instruction to apply the input signal, x, to a first complex FIR filter that performs one or more of RF equalization and IQ imbalance correction; and executing a vector convolution instruction to apply a conjugate x* of the input signal, x, to a second complex FIR filter that performs the one or more of RF equalization and IQ imbalance correction, wherein the second complex FIR filter is in parallel with the first complex FIR filter. The first and second complex FIR filters have complex coefficients and the input signal comprises a complex signal.
Abstract:
Multi-stage crest factor reduction (CFR) techniques are provided for multi-channel multi-standard radio (MSR). A multi-stage crest factor reduction method comprises applying one or more data samples associated with at least one channel of a first technology type to a first individual crest factor reduction block; applying one or more data samples associated with at least one channel of a second technology type to a second individual crest factor reduction block; aggregating outputs of the first and second individual crest factor reduction blocks to generate an aggregated output; and applying the aggregated output to a composite crest factor reduction block. The individual crest factor reduction blocks can be implemented using a sampling rate appropriate for the corresponding technology type. The composite crest factor reduction block operates at a higher sampling rate than the individual crest factor reduction blocks.
Abstract:
A vector processor is provided having an instruction set with a vector convolution function. The disclosed vector processor performs a convolution function between an input signal and a filter impulse response by obtaining a vector comprised of at least N1+N2-1 input samples; obtaining N2 time shifted versions of the vector (including a zero shifted version), wherein each time shifted version comprises N1 samples; and performing a weighted sum of the time shifted versions of the vector by a vector of N1 coefficients; and producing an output vector comprising one output value for each of the weighted sums. The vector processor performs the method, for example, in response to one or more vector convolution software instructions having a vector input. The vector can comprise a plurality of real or complex input samples and the filter impulse response can be expressed using a plurality of coefficients that are real or complex.