Signal Processing for Novel Noise Radar Based on de-chirp and Delay Matching

Area of Science:

• Electrical Engineering
• Signal Processing
• Radar Systems

Background:

• Traditional frequency-modulated continuous wave (FMCW) radar suffers from poor anti-jamming capabilities.
• High sampling rates in FMCW radar increase hardware costs and reduce processing efficiency.
• Advanced radar systems require enhanced signal quality and detection performance.

Purpose of the Study:

• To develop a composite radar waveform with improved anti-jamming capabilities.
• To propose an optimized echo signal processing method for enhanced radar detection.
• To reduce system hardware costs and improve data processing efficiency in radar systems.

Main Methods:

• A composite radar waveform combining noise frequency modulation (NFM) and linear frequency modulation (LFM) signals was constructed.
• A de-chirp technique using a locally generated LFM signal processed received echoes into a narrowband difference frequency noise signal.
• Delay matching in the fast time domain using a locally generated NFM signal was performed for target delay information acquisition.

Main Results:

• The composite waveform enhanced signal complexity and anti-jamming capabilities.
• The proposed processing method maintained wideband echo signal detection performance despite reduced analog-to-digital (A/D) sampling rates.
• Sidelobe levels and range resolution were preserved, enabling accurate target detection through slow-time domain accumulation.

Conclusions:

• The developed composite radar waveform and echo processing method effectively enhance radar performance.
• The approach offers a viable solution for improving anti-jamming capabilities and reducing hardware costs in modern radar systems.
• Simulation experiments validated the effectiveness of the proposed technique for target detection.