Bi-static target localization based on inaccurate TDOA-AOA measurements

• Published in: Signal, image and video processing Vol. 16; no. 1; pp. 239 - 245
• Main Authors: Imani, Sadjad, Peimany, Mohammad, Hasankhan, Mohammad Javad, Feraidooni, Mohammad Mahdi
• Format: Journal Article
• Language: English
• Published: London Springer London 01.02.2022; Springer Nature B.V
• Subjects: Angle of arrival; Computer Imaging; Computer Science; Image Processing and Computer Vision; Localization; Multimedia Information Systems; Noise levels; Optimization; Original Paper; Pattern Recognition and Graphics; Signal,Image and Speech Processing; Vision; Semi-definite relaxation (SDR); Localization; Least squares (LS); Angle of arrival (AOA); Convex optimization; Time difference of arrival (TDOA)
• ISSN: 1863-1703; 1863-1711
• DOI: 10.1007/s11760-021-01985-4

In this paper, we propose an effective method to estimate the target location using two receiver stations and bi-static geometry. In this method, the least squares criterion-based optimization problem is formed using a combination of the time difference of arrival (TDOA) and angle of arrival (AOA) measurements to estimate the target location. This problem is solved by semi-definite relaxation without requiring an initial estimation of the response or comprehensive search. The proposed method can effectively localize the target location with high accuracy in the presence of high noise level and, consequently, inaccurate TDOA and AOA measurements of the input signal. The numerical results show that the proposed method estimates the target location more accurately than some state-of-the-art methods in the presence of inaccurate input parameters.