Adaptive signal suppression based on modified PCA for a single-point radiation source in radar networks

Abstract

In order to realise effective target detection with a large baseline radar network interfered by a single radiation source, an adaptive processing method derived from traditional principal component analysis (PCA) and array signal processing theory is proposed in this study. First, the signal model for target detection with a large baseline radar system in an interference environment is established. Second, based on the characteristics of the signal model, an adaptive suppression method composed of high-precision delay alignment and modified PCA is proposed. Finally, the effectiveness of the method in a typical environment is verified by simulation. The results show that this method can accumulate target energy effectively and realise reliable detection in such case, which has great application prospects.

Keywords

• interference suppression
• radar signal processing
• principal component analysis
• object detection
• array signal processing
• adaptive signal suppression
• modified pca
• single-point radiation source
• radar networks
• effective target detection
• baseline radar network
• single radiation source
• adaptive processing method
• array signal processing theory
• signal model
• baseline radar system
• interference environment
• adaptive suppression method
• high-precision delay alignment
• target energy
• reliable detection