Parameter Estimation of Communication Signal in Alpha-stable Distribution Noise Environment
Jiai He, Panpan Du, Xing Chen · 2017
The parameter estimation of communication signal is a key problem in noncooperative communication signal processing. The traditional algorithm which uses cyclic spectrum to estimate signal's parameters could not achieve the desired results in alpha-stable distribution noise environment. Therefore, in this paper, a joint estimation algorithm based on the generalized cyclic spectrum is proposed. Firstly, this paper defines the generalized cyclic spectrum through the nonlinear transformation. Then the carrier frequency and the symbol rate are estimated by detecting spectral peak of different sections of the generalized cyclic spectrum. In the end, the algorithm is simulated by the BPSK modulation signal, and the experimental results are analyzed with the normalized mean square error and the deviation. Compared with the performance of the traditional cyclic spectrum algorithm in Gaussian noise, it can be seen that the joint estimation algorithm is feasible in alpha-stable distribution noise.