DOA estimation of LFM signal based on Krylov subspace method

Maedeh FallahReyhani, Hamidreza Bakhshi () and Hannan Lohrasbipeyde
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Maedeh FallahReyhani: Shahed University
Hamidreza Bakhshi: Shahed University
Hannan Lohrasbipeyde: Shahed University

Telecommunication Systems: Modelling, Analysis, Design and Management, 2022, vol. 79, issue 2, No 7, 278 pages

Abstract: 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.

Keywords: Short time Fourier transform; Krylov; Chirp rate; Linear frequency modulation; Direction of arrival estimation (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11235-021-00859-x

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