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Clutter Suppression Method for Off-Grid Effects Mitigation in Airborne Passive Radars with Contaminated Reference
Yaqi Deng1, Wenguo Li1, Saiwen Zhang1
1College of Information and Electronic Engineering, Hunan City University, No. 518, Yingbin East Road, Yiyang 413000, China.
Sensors (Basel, Switzerland)
|October 13, 2021
Summary
This study introduces a new method to suppress multipath (MP) clutter in airborne passive radar systems. The technique improves space-time adaptive processing (STAP) performance by addressing contaminated reference signals and off-grid effects.
Area of Science:
- Radar Systems Engineering
- Signal Processing
- Electromagnetics
Background:
- Airborne passive radar systems face performance degradation due to multipath (MP) clutter in reference signals.
- This MP clutter corrupts covariance estimation essential for space-time adaptive processing (STAP).
- Off-grid effects further exacerbate performance issues in STAP.
Purpose of the Study:
- To propose a novel method for suppressing MP clutter in airborne passive radar.
- To overcome the severe STAP performance degradation caused by impure reference signals and off-grid effects.
- To enhance the accuracy of covariance estimation in STAP.
Main Methods:
- A sparse measurement model for MP clutter is used to construct a global dictionary.
- Global atoms relevant to the residual are selected.
- Iterative design of a local dictionary and local searches are performed to match MP clutter points.
- MP clutter is suppressed from matched atoms, mitigating off-grid effects.
Main Results:
- The proposed method effectively suppresses MP clutter in airborne passive radar.
- Performance degradation in STAP due to impure reference signals and off-grid effects is significantly reduced.
- Simulations demonstrate the effectiveness of the MP clutter suppression technique.
Conclusions:
- The novel local search-based MP clutter suppression method is effective for airborne passive radar.
- The technique successfully mitigates off-grid effects and improves STAP performance.
- This approach offers a robust solution for dealing with contaminated reference signals in passive radar systems.
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