科研之友
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摘要
To solve the core problem in signal processing of the enhanced LOng RAnge Navigation (eLORAN) system—cycle-identification, a joint algorithm for harsh condition such as high intensity skywave interference and low Signal-Noise-Ratio (SNR) is proposed in this paper. Firstly, based on the improved window function in this method, the characteristic parameters of signal are estimated by spectral division technology, and then the identification of ground and sky wave is realized according to the thought of large number theory. Secondly, in order to reconstruct accurately and remove the skywave while saving the computation, a two-stage adaptive searching and matching algorithm of the characteristic parameters is proposed. Finally, the cycle-identification is realized accurately by the output pseudo-groundwave. The analysis of simulation results show that the proposed algorithm can successfully overcome some disadvantages of the prior art, and realize the recognition and separation of skywave in the environment of low time-delay and high level skywave. In addition, the accuracy rate of cycle-identification is greatly improved combining with the stability of spectral division technology, so as to provide a guarantee for the subsequent demodulation and decoding processes.
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