Abstract

Direction of arrival estimation of LFM signal is an essential task in radar, sonar, acoustics and biomedical. In this paper, a short time Fourier transform multi-step knowledge aided iterative generalized minimum residual (STFT-MS-KAI-GMRES) approach is presented to amend the angle measurement of this signal. A three stage algorithm is proposed. First, the process is initiated with formulating an estimation algorithm for the carrier frequency and chirp rate, followed by calculation of STFT of the output of array element; this yields a spatial time–frequency distribution matrix. Next, the Krylov subspace-based estimation algorithm is formulated in the presence of MS-KAI-ESPRIT algorithm. If the number of antennas increases, the accuracy of the algorithm will increase, but we will incur more communication costs. Results are presented showing attainment of the CRLB by STFT-MS-KAI-GMRES the for an adequately large signal to noise ratio. An important feature of the method presented in the current study is the low computational complexity that has higher suitability for practical applications.

Highlights

  • One of the significant matters in array signal processing is estimation of Direction of arrival estimation (DOA), attracting considerable attention [1, 2]

  • We develop the short-time Fourier transform (STFT)-MS-KAIGMRES algorithm with the ability of obtaining considerable gains in RMSE or probability of resolution performance compared to other methods, and it is a good option for usages with short data records in large-scale antenna systems for wireless communications, radar, and other large sensor arrays

  • The proposed STFT-MS-KAI-GMRES algorithm, gradually uses the knowledge of source signals that is achieved online. It exploits the spatial timefrequency distribution (STFD) matrix structure and its perturbations. It initiates with estimating the parameters of the signal’s carrier frequency and chirp rate by the method of summing the main signal with delayed format and signal summing with the base- band format, respectively

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Summary

INTRODUCTION

One of the significant matters in array signal processing is estimation of DOA (direction of arrival), attracting considerable attention [1, 2]. Despite owning the optimal time-frequency resolution by WVD, it has a fairly high computational complexity, and its cross-terms have a serious impact on the accuracy of the estimation concerning multiple signals. Development of such algorithms is further limited by these factors. For obtaining the DOA estimation, they employed the traditional Eigen subspace approaches These researchers used FrFT instead of WVD to solve the cross-term interference problem. Cross-term interference is not generated in this algorithm, and its estimation precision is higher in comparison with the traditional methods It preserves the computational advantage of the traditional ones. This study is presented as following: the signal model is explained in the second section, and an estimation algorithm is

SYSTEM MODEL
The STFT-based spatial time-frequency distribution
STFT-based MS-KAI-GMRES algorithm
Simulation Results
CONCLUSION
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