Weak Signal Detection and Carrier Frequency Estimation Based on Cyclic Spectrum Theory

摘要

Due to the complexity and unpredictability of the wireless communication environment, the existing carrier coarse estimation method will be greatly affected under low SNR conditions. Using the method of cyclic spectrum analysis, the carrier frequency of the BPSK signal at a lower signal-to-noise ratio can be estimated. But again, the cyclic spectrum consumes a lot of computing resources due to its large computational complexity. In this paper, the problem of downloading wave estimation with low SNR is solved by analyzing the cyclic spectrum. Through experiments, the suggestion of smooth window size selection of FAM algorithm is given under the condition of both computational efficiency and accuracy.