Systems Engineering and Electronics ›› 2022, Vol. 44 ›› Issue (11): 3388-3396.doi: 10.12305/j.issn.1001-506X.2022.11.13

• Sensors and Signal Processing • Previous Articles     Next Articles

Low-complexity and robust beamforming algorithm based on frequency diverse array MIMO radar

Yibin LIU1, Chunyang WANG1, Jian GONG1,*, Ming TAN2   

  1. 1. Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China
    2. College of Information and Communication, National University of Defense Technology, Wuhan 430010, China
  • Received:2021-09-28 Online:2022-10-26 Published:2022-10-29
  • Contact: Jian GONG

Abstract:

Frequency diverse array (FDA) multiple input multiple output (MIMO) radar provides a suppression scheme for mainlobe interference based on the range-dimensional freedom from the transmitter modulation. Combined with the adaptive beamforming algorithm, FDA-MIMO radar can effectively suppress deceptive interference signals within the mainlobe. However, the existing problems such as complex signal environment, steering vector mismatch and insufficient sampling snapshots will deteriorate the performance of the algorithm. To solve the problem, this paper proposes a low-complexity robust adaptive beamforming (RAB) algorithm based on FDA. Simulation experiments show that the proposed algorithm has stronger robustness and lower computational complexity under non-ideal conditions such as low signal-to-noise ratio, low-sampling snapshot and 5-degree steering vector mismatch. Meanwhile, the proposed algorithm effectively achieves the indication of the target and the suppression of interference, and overcomes the performance degradation of other algorithms under non-ideal conditions.

Key words: frequency diverse array (FDA), robust adaptive beamforming, multiple input multiple output (MIMO), non-ideal condition

CLC Number: 

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