Antenna array noise reconditioning by cumulants

The main motivation of using higher order statistics in signal processing applications has been their insensitivity to additive colored Gaussian noise. The main objection to those methods is their vulnerability to nonGaussian noise. The authors first give an interpretation for the information provided by cumulants for array processing applications. Then, they investigate the possibility of suppressing the effects of nonGaussian noise. It is shown that existing arrays can be reconditioned by an additional sensor and by using cumulants. It is also shown that existing cumulant-based algorithms are less sensitive to colored nonGaussian noise than their covariance-based counterparts above a threshold SNR.