A new method for m-sequence detection using higher-order statistics
LI You-hu · Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University · 2010
In order to overcome the m-sequence detection problem in direct sequence(DS) signals,research was carried out on higher-order statistical(HOS) signal processing.The triple correlation function(TCF) was theoretically redefined with forward and backward forms.The idea of deriving a primitive polynomial from a particular TCF's peak coordinates was combined with the matrix's oblique elementary theory to evaluate the greatest common factor of a given polynomial.Use of the regular algorithm for deriving primitive polynomial was then proposed.Results from a simulation proved the algorithm feasible and effective.At the same time,performance of the algorithm with additive white Gaussian noise(AWGN) was analyzed.Simulation data indicated the detection efficiency was close to 70% at-10dB.