Unambiguous Delay-Doppler Recovery from Random Phase Coded Pulses

Xiang Liu, Deborah Cohen, Tianyao Huang, Yimin Liu, Yonina Eldar

Research output: Contribution to journalArticlepeer-review

Abstract

Pulse Doppler radars suffer from range-Doppler ambiguity that translates into a trade-off between the maximal unambiguous range and velocity. Several techniques, like the multiple PRFs (MPRF) method, have been proposed to mitigate this problem. The drawback of the MPRF method is that the received samples are not processed jointly, decreasing signal to noise ratio (SNR). To overcome the drawbacks of MPRF, we employ a random pulse phase coding approach to increase the unambiguous range region while preserving the unambiguous Doppler region. Our method encodes each pulse with a random phase, varying from pulse to pulse, and then processes the received samples jointly to resolve range ambiguity. This technique increases the SNR through joint processing without the parameter matching procedures required in MPRF. The recovery algorithm is designed based on orthogonal matching pursuit so that it can be directly applied to either Nyquist or sub-Nyquist samples. The unambiguous delay-Doppler recovery condition is derived using compressed sensing theory in noiseless settings. In particular, an upper bound on the number of targets is given, with respect to the number of samples in each pulse repetition interval and the number of transmit pulses. Simulations show that in both regimes of Nyquist and sub-Nyquist samples our method outperforms the popular MPRF approach in terms of hit rate.

Original languageEnglish
Pages (from-to)4991-5004
Number of pages14
JournalIEEE Transactions on Signal Processing
Volume69
DOIs
StatePublished - 19 Aug 2021

Keywords

  • Radar theory
  • compressed sensing
  • pulse Doppler radar

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

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