A Viterbi Algorithm for Blind Estimation of Periodic Long-Code DSSS Signals
Chao Ma, Limin Zhang · 2018
A novel efficient blind estimation method is proposed for periodic long-code(PLC) direct sequences spread spectrum(DSSS) signals. The core idea of the proposed method is to model a PLC DSSS signal as equivalent to a multiuser short-code DSSS system, which simplifies the problem to the estimation of short-code DSSS signal. Then, Viterbi algorithm is employed to estimate the pseudonoise(PN) sequence. At last, in order to obtain the required spreading code, all the estimated spreading code of each virtual user are summed up. Both theoretical analysis and computer simulations show that the approach works well on the lower SNR ambient and has small computation amount.