Adaptive multistage beamforming using cyclic higher order statistics (CHOS)

A new blind beamforming algorithm for signals that exhibit higher order cyc lostationarity is presented. Exploiting some recent theoretical development s, we show how cyclic cumulants of the received signals can:be used to: obt ain the weights of the beamformer that perform blind extraction,: The metho d is based on a spatial interpretation of a deconvolution procedure known a s the super-exponential algorithm. The basic block processing algorithm is made fully adaptive using an adaptive URV scheme and applied to a typical m obile communications scenario where several cochannel inteferers corrupt th e signals of interest.