Improved SSMUSIC Algorithm of Super-Resolution Time Delay Estimation in Multipath Environments

Traditional MUSIC super-resolution time delay estimation technology is based on the direct data and it’s performance always better on the condition of wideband and approximate flat spectrum and bad on the narrowband signal. Aim at these problems, this paper use the equality of model-based sinusoidal parameter estimation and DOA estimation, then propose an improved SSMUSIC algorithm of super-resolution time delay estimation through transform the problem into problem of parameter estimation of sinusoidal signals. The improved algorithm adopts the smoothing technique and SSMUSIC technique to construct the covariance matrix and MUSIC spectrum and realizes the Super-Resolution Time Delay Estimation in Multipath Environments. The simulations show that improved algorithm has the better performance on the traditional super-resolution algorithm which can realize the Super-Resolution Time Delay Estimation in Multipath Environments of narrowband signals and has the features of DP unambiguity and abrupt spectrum.