Improved recursive soft sequental estimation algorithm for m-sequence acquisition
Michael Balanov, Dmitriy Prozorov · 2015
We propose an improved recursive soft sequential estimation (RSSE) algorithm for fast acquisition of pseudonoise (PN) signal in noisy environment. The PN signal is phase modulated m-sequence. The method uses a feedback amplifier and a limiter for reliable acquisition of the m-sequence. Our simulations showed benefits of the algorithm for low signal-noise ratios in terms of acquisition probability and acquisition time. The method allows improve the steady state performance of the RSSE for low signal-noise ratios in particular for long m-sequences.