Time Domain IRCI-Free Pulse Compression for OQAM-OFDM Radar System

Qiao Shi, Tianxian Zhang, Xianxiang Yu, Xinyu Liu, Inkyu Lee

Research output: Contribution to journalArticlepeer-review

Abstract

In this article, a novel majorization-minimization (MM)-based time domain pulse compression method (MM-based TDPCM) is proposed for offset quadrature amplitude modulation-based orthogonal frequency division multiplexing (OQAM-OFDM) radar system. We first propose a TDPCM by constructing a general linear model from the time domain with the estimated weights of the OQAM-OFDM signal and solving the model with a whitening operation to complete the pulse compression. The proposed TDPCM greatly reduces the required number of subcarriers for the given range cells and achieves inter range cell interference (IRCI)-free pulse compression. Furthermore, the MM-based TDPCM is proposed to maximize the signal-to-noise ratio (SNR) of the TDPCM. By theoretically analyzing the SNR performance of the TDPCM, we develop an optimization model to design the transmitted weights of the OQAM-OFDM signal. Then, the MM algorithm is proposed to solve the optimization model, realizing the maximum SNR output. Finally, numerical simulation results verify the superior performance of the proposed MM-based TDPCM.

Original languageEnglish
JournalIEEE Systems Journal
DOIs
Publication statusAccepted/In press - 2022

Keywords

  • Correlation
  • Covariance matrices
  • Inter-range-cell interference (IRCI)-free
  • majorization-minimization (MM)
  • OFDM
  • offset quadrature amplitude modulation-based orthogonal frequency division multiplexing (OQAM-OFDM) radar system
  • Radar
  • Signal processing algorithms
  • Signal to noise ratio
  • Spaceborne radar
  • time domain pulse compression method (TDPCM)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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