Doppler Shift Based Target Localization Using Semidefinite Relaxation

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概要

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• We propose a novel approach to the target localization problem using Doppler frequency shift measurements. We first reformulate the maximum likelihood estimation (MLE) as a constrained weighted least squares (CWLS) estimation, and then perform the semidefinite relaxation to relax the CWLS problem as a convex semidefinite programming (SDP) problem, which can be efficiently solved using modern convex optimization methods. Finally, the SDP solution can be used to initialize the original MLE which can provide estimates achieve the Cramer-Rao lower bound accuracy. Simulations corroborate the good performance of the proposed method.

著者

• WEI Ping

  College of Electronic Engineering, University of Electronic Science and Technology of China

• Liao Hong

  College Of Electronic Engineering University Of Electronic Science And Technology Of China

• Wei Ping

  College Of Electronic Engineering University Of Electronic Science And Technology Of China

• DU Yan

  College of Electronic Engineering, University of Electronic Science and Technology of China

• LI Wan

  College of Electronic Engineering, University of Electronic Science and Technology of China

関連論文

• A Semidefinite Relaxation Approach to Spreading Sequence Estimation for DS-SS Signals
• Doppler Shift Based Target Localization Using Semidefinite Relaxation

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