Volume 9 Issue 5
Oct.  2020
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Article Navigation >  Journal of Radars  > 2020  >  9(5): 908-915
Chen Wei, Wan Xian-rong, Zhang Xun, Rao Yun-hua, Cheng Feng. Parallel Implementation of Multi-channel Time Domain Clutter Suppression Algorithm for Passive Radar[J]. Journal of Radars, 2014, 3(6): 686-693. doi: 10.12000/JR14157
Citation: ZHENG Guimei, SONG Yuwei, HU Guoping, et al. Height measurement for meter-wave MIMO radar based on block orthogonal matching pursuit preprocessing[J]. Journal of Radars, 2020, 9(5): 908–915. doi: 10.12000/JR20042
shu

Height Measurement for Meter-wave MIMO Radar Based on Block Orthogonal Matching Pursuit Preprocessing

DOI: 10.12000/JR20042
  • 1.

    Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, China

  • 2.

    Air Force Early Warning Academy, Wuhan 430019, China

  • 3.

    PLA 66135, Beijing 100041, China

Funds:  The Young Talent fund of University Association for Science and Technology in Shaanxi of China(20180109), The National Natural Science Foundation of China(61871395, 61971438), The Natural Science Basic Research Plan in Shaanxi Province of China (2019JM-155, 2020JM-345)
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  • Corresponding author: ZHENG Guimei, zheng-gm@163.com
  • Received Date: 2020-04-17
  • Rev Recd Date: 2020-06-04
    • Available Online: 2020-06-25
  • Publish Date: 2020-10-28
    Abstract
  • Meter-wave radar has good anti-stealth performance. The waveform diversity of Multiple-Input Multiple-Output (MIMO) radar can result in a higher degree of freedom, which makes MIMO radar more advantageous in detection and parameter estimation. Therefore, meter-wave MIMO radar has been widely studied. The radar height measurement is one of the most important research problems of the meter-wave MIMO radar. The maximum likelihood and generalized multiple signal classification algorithms are effective for measuring the radar height. However, they feature heavy computation complexity. In this paper, a preprocessing method based on Block Orthogonal Matching Pursuit (BOMP) is proposed to reduce the computation. First, the received data of MIMO array are sparse-processed, and then, using a mathematical operation, they are transformed into a signal model suitable for the BOMP algorithm; then coarse angle estimation is obtained using a large search grid. The coarse angle estimation is taken as the initial value, and the MIMO radar beam width as the search range. The simulation results show that the proposed algorithm can effectively reduce the computation of the search-type height measurement algorithm.

     

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    • References(17)
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