Multi-carrier agile phased array radar

Tianyao Huang, Nir Shlezinger, Xingyu Xu, Dingyou Ma, Yimin Liu, Yonina C. Eldar

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Modern radar systems are expected to operate reliably in congested environments. A candidate technology for meeting these demands is frequency agile radar (FAR), which randomly changes its carrier frequencies. FAR is known to improve the electronic counter-countermeasures (ECCM) performance while facilitating operation in congested setups. To enhance the target recovery performance of FAR in complex electromagnetic environments, we propose two radar schemes extending FAR to multi-carrier waveforms. The first isWidebandMulti-carrier Agile Radar (WMAR), which transmits/receives wideband waveforms simultaneously with every antenna. To mitigate the demanding hardware requirements associated with wideband waveforms used by WMAR, we next propose multi-Carrier AgilE phaSed Array Radar (CAESAR). CAESAR uses narrowband monotone waveforms, thus facilitating ease of implementation of the system, while introducing spatial agility. We characterize the transmitted and received signals of the proposed schemes, and develop an algorithm for recovering the targets, based on concepts from compressed sensing to estimate the range-Doppler parameters of the targets.We then derive conditions which guarantee their accurate reconstruction. Our numerical study demonstrates that both multi-carrier schemes improve performance compared toFARwhile maintaining its practical benefits.We also demonstrate that the performance of CAESAR, which uses monotone waveforms, is within a small gap from the wideband radar.

Original languageEnglish
Pages (from-to)5706-5721
Number of pages16
JournalIEEE Transactions on Signal Processing
Volume68
DOIs
StatePublished - 1 Jan 2020

Keywords

  • Compressed sensing
  • Frequency agile radar
  • Multi-carrier agility

Fingerprint

Dive into the research topics of 'Multi-carrier agile phased array radar'. Together they form a unique fingerprint.

Cite this