Parameter Estimation of Mixed Signals in Single-Channel on Modification Fast Cyclic Spectral Estimation Algorithm with One-Bit Spectral-Correlation

In response to the challenge of the complex environment such as non-cooperative communication and wideband electromagnetic spectrum regulation, where existing missing priori information, in view of blind parameters estimation problem of mixed signal in the single channel, this paper presents an algorithm based on improved fast cyclic spectrum estimation with one bit spectral correlation. Aiming at signal set BPSK、QPSK、OQPSK、8PSK、8QAM、16QAM、16APSK、32APSK、CPM, we propose complete algorithm flow of parameter estimation, which computing high cyclic cumulant and center of power spectrum so as to decide number and carrier frequency of mixed signals, then extracting the peak of symbol rate with proposed cyclic spectrum, finally accomplishing parameter estimation of mixed signals in single channel. Paper proves the statistical features of improved algorithm theoretically. The theoretical analysis and simulation results prove that: The algorithm does not require a priori information such as synchronization code, and suit for Gaussian noise and multi path flat fading channel, even reduce the computer complexity, storage space, estimation variance and data quantity requirement. when the mixed signals are same power, carrier frequency and symbol rate estimation correct rate are both more than 90% when the SNR is -4 dB or -1 dB respectively, verifying the feasibility and effectiveness of the algorithm.