Abstract. This paper presents a new root multiple signal classification (Root-MUSIC) time delay estimation method based on the concept of well known propagator method (PM). The PM does not need the eigenvalue decomposition whose computational complexity is high. This method has great performance of time delay estimation under the condition of high signal to noise ratio (SNR) and need spectral peak searching whose computational complexity is very high. To address those issues, the new method is proposed. The proposed algorithm has high resolution capabilities and has lower computational complexity than conventional PM. Its computational complexity significantly reduces by using the method of finding the root of polynomial instead of the spectral peak searching and the eigenvalue decomposition. Theoretical analysis and computer simulation results show that the proposed method is effective.
Abstract. Under the condition of single snapshot, multiple signal classification (MUSIC) time of arrival (TOA) estimation algorithm improves its performance by forward and backward smoothing in frequency domain. Its ability to distinguish multipath is strong. However, this method is introduced from smoothing in spatial smoothing. And the derivation and the performance analysis are not given. For this problem, the derivation and performance analysis of MUSIC TOA estimation based on forward and backward smoothing in frequency domain is introduced in this paper. The full-rank conditions of autocorrelation matrix of multipath component fading coefficient are deduced. At the same time, estimation precision of noise subspace is higher after data is preprocessed by forward and backward smoothing. Simulation results show that the algorithm has better ability to distinguish multipath under situations of single snapshot. The algorithm has strong robustness and its performance is better than MUSIC TOA estimation algorithm of forward smoothing in frequency domain.
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