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A Semidefinite Programming Approach for Doppler Frequency Shift Based Stationary Target Localization Li Juan DENG Ping WEI Yan Shen DU Hua Guo ZHANG Publication IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Vol.E101-A No.2 pp.507-511 Publication Date: 2018/02/01 Online ISSN: 1745-1337 DOI: 10.1587/transfun.E101.A.507 Type of Manuscript: LETTER Category: Digital Signal Processing Keyword: Doppler frequency shift (DFS), target localization, maximum likelihood estimation (MLE), semidefinite programming (SDP), Full Text: PDF(368.1KB)>>
Summary: In this work, we address the stationary target localization problem by using Doppler frequency shift (DFS) measurements. Based on the measurement model, the maximum likelihood estimation (MLE) of the target position is reformulated as a constrained weighted least squares (CWLS) problem. However, due to its non-convex nature, it is difficult to solve the problem directly. Thus, in order to yield a semidefinite programming (SDP) problem, we perform a semidefinite relaxation (SDR) technique to relax the CWLS problem. Although the SDP is a relaxation of the original MLE, it can facilitate an accurate estimate without post processing. Simulations are provided to confirm the promising performance of the proposed method. | ||||||||||
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