Hybrid Optimization Algorithm for Side lobe Reduction in Radar Communication

Radar systems rely on effective sidelobe suppression to concentrate energy on the primary lobe, ensuring accurate target detection and minimizing false identifications. In both military and civilian applications, side lobe reduction plays a crucial role in enhancing precision by mitigating clutter and environmental interference. Uncontrolled side lobes allow unwanted reflections from structures, water surfaces, and terrain, introducing noise that degrades radar sensitivity. To address this, polyphase codes are optimized using a hybrid optimization algorithm that integrates Particle Swarm Optimization (PSO) and the Gray Wolf Optimizer (GWO).This approach combines the global search efficiency of PSO with the local refinement capabilities of GWO, achieving superior sidelobe suppression while preserving resolution and detection accuracy. The proposed method enhances radar performance by reducing interference, improving target discrimination, and increasing resilience against jamming, making it a robust solution for modern radar applications.