The Performance Analysis of DOA Estimation Algorithm for Troposcatter Signal based on Time Frequency Diffusion Modification

Abstract Direction of arrival estimation (DOA) 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 (STFD) 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 (SNR). An important feature of the method presented in the current study is the low computational complexity that has higher suitability for practical applications.

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Performance Analysis of Interferometer Algorithm under Phase Measurement Error

Applied Sciences ◽

10.3390/app11020467 ◽

2021 ◽

Vol 11 (2) ◽

pp. 467

Author(s):

Chan-Bin Ko ◽

Joon-Ho Lee

Keyword(s):

Measurement Error ◽

Performance Analysis ◽

Phase Measurement ◽

Fundamental Problem ◽

Estimation Algorithm ◽

Doa Estimation ◽

Direction Finding ◽

Circular Array ◽

Angle Of Arrival ◽

The Past

Direction finding has been extensively studied over the past decades and a number of algorithms have been developed. In direction finding, theoretic performance prediction is a fundamental problem. This paper addresses the performance analysis issue of interferometer-based 2D angle of arrival estimation using uniform circular array (UCA). We propose an analytic method for performance analysis of interferometer in the presence of Gaussian or uniform error in phase measurement of incident signal on each sensor. The analytic mean square error (MSE), which is approximately equal to the MSE of actual interferometer-based DOA estimation, is derived via Taylor expansion and approximation. The derived analytic MSE is useful for predicting how the MSE of the interferometer-based DOA estimation algorithm is dependent on the phase measurement error.

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Performance Analysis of Two-Dimensional Maximum Likelihood Direction-of-Arrival Estimation Algorithm Using the UCA

International Journal of Antennas and Propagation ◽

10.1155/2017/6926825 ◽

2017 ◽

Vol 2017 ◽

pp. 1-28 ◽

Cited By ~ 3

Author(s):

Yun-Seong Cho ◽

Jeong-Min Seo ◽

Joon-Ho Lee

Keyword(s):

Maximum Likelihood ◽

Performance Analysis ◽

Taylor Series Expansion ◽

Direction Of Arrival ◽

Estimation Algorithm ◽

Doa Estimation ◽

Mean Square ◽

Circular Array ◽

Simulation Results ◽

Mean Square Errors

We address the performance analysis of the maximum likelihood (ML) direction-of-arrival (DOA) estimation algorithm in the case of azimuth/elevation estimation of two incident signals using the uniform circular array (UCA). Based on the Taylor series expansion and approximation, we get explicit expressions of the root mean square errors (RMSEs) of the azimuths and elevations. The validity of the derived expressions is shown by comparing the analytic results with the simulation results. The derivation in this paper is further verified by illustrating the consistency of the analytic results with the Cramer-Rao lower bound (CRLB).

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