Forward Scatter Passive Radar Target’s Baseline Recognition via Clustering-Based Principal Component Analysis

The combination of denoising and transformed time domain filtering has led to the state-of-the-art clustering techniques. After a deep investigation on pre-processing the detection of ground moving target using forward scatter (FS) passive radar, principal component analysis (PCA) could be used as a spectral signature for target’s baseline recognition. The clustering-based PCA able to distinguish the target’s distance from the passive radar receiver (called baseline).

کلیدواژه ها:

Principal Component Analysis (PCA) ، clustering ، forward scatter (FS) ، passive radar