Target Detection and DOA Estimation for Passive Bistatic Radar in the Presence of Residual Interference is an article by Haitao Wang, Jun Wang, Junzheng Jiang, Kefei Liao, and Ningbo Xie.

The advancement in radio technology poses challenges for passive bistatic radar (PBR), as interference from both the base station illuminator of opportunity (BS-IoO) and co-frequency/adjacent frequency base stations (BS-CF/AF) can be problematic. Conventional clutter cancellation struggles to fully eliminate these interferences, particularly those from BS-CF/AF, adversely impacting target detection and direction-of-arrival (DOA) estimation.

A novel method is proposed to address this issue, employing compressed sensing sparse reconstruction. The approach involves initial clutter cancellation to suppress BS-IoO interferences, followed by spatial separation of residual interferences and target echoes through azimuth sparse reconstruction. The method offers improved anti-mainlobe interference and high-resolution DOA estimation, demonstrating effectiveness through numerical simulations and experimental results.

Publication Date– February 2022

Target Detection and DOA Estimation for Passive Bistatic Radar in the Presence of Residual Interference contains the following major sections:

  • Introduction
  • Signal Model
  • Algorithm Description
  • Simulation Analysis
  • Field Experiment Results
  • Conclusions

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Authors- Haitao Wang, Jun Wang, Junzheng Jiang, Kefei Liao, and Ningbo Xie

See Also-

Passive Radar for Counter-Drone Operations and Air Traffic Surveillance

C-UAS Passive Sensor Processing and Data Fusion

Image Credit: Authors