Optimization of tracking loop for positioning receiver based on MUSIC algorithm

In a multipath environment, the positioning receiver is unable to distinguish multipath signals, resulting in a decrease in the tracking accuracy of the receiver towards the positioning signal, which in turn affects the positioning performance. This paper proposes a pseudo-random code tracking loop algorithm for a positioning receiver based on the Multiple Signal Classification (MUSIC) algorithm, which improves the resolution of the positioning receiver to multipath. In the preprocessing stage, time-domain denoising and time-domain extension methods are adopted to make the relevant results in the receiver applicable to the MUSIC algorithm. Then, in the process of constructing the autocorrelation matrix, the frequency-domain truncated cyclic smoothing algorithm is adopted to further increase the signal-to-noise ratio and improve the efficiency of MUSIC pseudospectrum search. The test data shows that the above algorithm can distinguish the first path delay in multipath environments, improve the pseudospectrum peak by more than 50dB, and improve the tracking accuracy of the receiver on the positioning signal. The residual code phase in the same test environment is 38.9% higher than that of traditional receivers, thereby improving the positioning accuracy by 35.3%.