Anti-main lobe Slicing reconstruction jamming based on improved blind source separation algorithm
- Resource Type
- Conference
- Authors
- Fang, Jinhui; Song, Baojun; Zhu, Mingzhe
- Source
- 2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) Signal Processing, Communications and Computing (ICSPCC), 2022 IEEE International Conference on. :1-5 Oct, 2022
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
MIMO radar
Computer simulation
Signal processing algorithms
Interference
Radar
Blind source separation
Radar signal processing
Slice reconstruction interference
blind source separation
frequency diversity array - multi-input
multi-output radar
interference separation
- Language
Aiming at the current problem that MIMO radar cannot effectively identify the target under the interference of the main lobe slicing reconstruction jamming, the blind source separation algorithm based on the maximum signal-to-noise ratio cannot effectively separate the interference and signal under the background of high noise. In this paper, an improved blind source separation algorithm based on the maximum signal-to-noise ratio is used to realize the separation of slice reconstruction interference under the condition of low signal-to-noise ratio of FDA-MIMO radar system through computer simulation. The results show that compared with the original algorithm, the improved algorithm can better achieve the separation of the target signal and the interference signal.