Interference Removal for Radar/Communication Co-Existence: The Random Scattering Case

Yinchuan Li, Le Zheng*, Marco Lops, Xiaodong Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)

Abstract

In this paper, we consider an un-cooperative spectrum sharing scenario, where a radar system is to be overlaid to a pre-existing wireless communication system. Given the order of magnitude of the transmitted powers in play, we focus on the issue of interference mitigation at the communication receiver. We explicitly account for the reverberation produced by the (typically high-power) radar transmitter whose signal hits scattering centers (whether targets or clutter) producing interference onto the communication receiver, which is assumed to operate in an un-synchronized and un-coordinated scenario. We first show that the receiver design amounts to solve a joint (non-convex) interference removal and data demodulation problem. Next, we introduce two algorithms exploiting sparsity of a proper representation of the interference and the vector containing demodulation errors of the data block. The first algorithm is basically a relaxed constrained atomic norm minimization, while the latter relies on a two-stage processing structure and is based on alternating minimization. The merits of these algorithms are demonstrated through extensive simulations; interestingly, the two-stage alternating minimization algorithm turns out to achieve satisfactory performance with moderate computational complexity.

Original languageEnglish
Article number8777296
Pages (from-to)4831-4845
Number of pages15
JournalIEEE Transactions on Wireless Communications
Volume18
Issue number10
DOIs
Publication statusPublished - Oct 2019
Externally publishedYes

Keywords

  • Radar/communication co-existence
  • atomic norm
  • blind deconvolution
  • compressed sensing
  • multi-path
  • non-convex
  • off-grid
  • sparsity

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