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Moving Target Elliptic Localization in Distributed OTFS Radars

Chao Wang, Buyi Li, Songyuan Yang,Yijing Zhao, Jin Zhang, He Zhao

2024 IEEE Wireless Communications and Networking Conference (WCNC)(2024)

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Abstract
The Orthogonal Time Frequency Space (OTFS) waveform, utilizing the Delay-Doppler (DD) domain for information transmission, has the capability to reveal intricate wireless propagation environments. Specifically, the Doppler component contains valuable geometric information that can be harnessed to enhance target localization accuracy. Surprisingly, existing communication radar-based target localization studies often ne-glect Doppler information. This paper delves into the problem of elliptic localization for moving objects in distributed OTFS radars. We explore the significance of Doppler by deriving the Cramer-Rao Lower Bound (CRLB) and subsequently formulate a non-convex Weighted Least Squares (WLS) problem. This problem is approximated as a convex semidefinite program through the application of Semidefinite Relaxation (SDR). The efficacy of the proposed algorithm is demonstrated through theoretical analysis and simulations.
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Key words
OTFS,CRLB,differential time delay,Doppler,SDR
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