Transmit Subaperturing for MIMO Radars with Nested Arrays

Linlin Mao, Hongbin Li, Qunfei Zhang

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

We consider a multiple-input multiple-output (MIMO) radar equipped with a colocated nested array for both transmit and receive. A novel transmit subaperturing (TS) approach that decomposes the nested array into unequal subarrays is proposed to take the advantage of the degrees of freedom (DOF) provided by the nested array but without resorting to spatial smoothing. Phased-array and the conventional MIMO with omni-directional transmission (omni-MIMO) are also extended to the nested array scenario, which utilize spatial smoothing to improve their DOF. Simulation results show that with sufficient training data, the omni-MIMO with nested array achieves the highest output signal-to-interference-plus-noise ratio (SINR), while the TS-MIMO scheme outperforms the other methods when training is limited when the radar operates in a non-homogeneous environment.

Original languageEnglish
Pages (from-to)244-248
Number of pages5
JournalSignal Processing
Volume134
DOIs
StatePublished - 1 May 2017

Keywords

  • Degrees of freedom (DOF)
  • Nested array (NA)
  • Subaperturing
  • Transmit beamforming

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