A Sparse-Driven Anti-Velocity Deception Jamming Strategy Based on Pulse-Doppler Radar with Random Pulse Initial...

Area of Science:

• Radar signal processing
• Electronic warfare
• Target detection

Background:

• Digital radio frequency memory (DRFM) repeat jammers pose a significant threat to pulse-Doppler (PD) radar systems.
• Jamming can obscure true targets, hindering radar's ability to detect moving objects.

Purpose of the Study:

• To develop an advanced anti-velocity jamming strategy for PD radar.
• To enhance the detection of moving targets in the presence of sophisticated DRFM jamming.

Main Methods:

• Utilizes random pulse initial phase (RPIP) signals to disrupt DRFM jammer adaptability.
• Employs an entropy-based multi-channel processing scheme for signal information extraction.
• Applies the short-time sparse recovery (STSR) algorithm for motion parameter estimation.

Main Results:

• Successfully distinguishes true target echoes from false target jamming signals.
• Identifies jamming components and DRFM jammer operating modes.
• Recognizes both translational and micro-motion false target jamming.
• Outperforms correlated processing (CP) methods in strong jamming environments.

Conclusions:

• The proposed RPIP strategy effectively combats velocity jamming.
• Enables robust detection and accurate motion parameter recovery of true targets.
• Maintains performance even under severe jamming conditions.