Eigendecomposition-based Interference Suppression for Ultra-Wideband Impulse Radio Life Detection.

Area of Science:

• Radar technology
• Life detection systems
• Signal processing

Background:

• Life detection using ultra-wideband impulse radar faces significant interference challenges.
• Common interferences include background clutter, radio frequency interference (RFI), hardware disturbances, and thermal noise.
• Effective interference suppression is crucial for accurate life detection and vital sign monitoring.

Purpose of the Study:

• To propose and evaluate a novel interference suppression algorithm for ultra-wideband impulse radar life detection.
• To demonstrate the algorithm's effectiveness in removing diverse interference types.
• To confirm that the algorithm improves signal quality without compromising respiratory signal detection.

Main Methods:

• Development of an interference suppression algorithm based on eigendecomposition.
• Application of the algorithm in both the fast-time domain to remove radar band interferences.
• Application in the slow-time domain to suppress interferences within the respiratory signal frequency band (0.17 to 2 Hz).

Main Results:

• The proposed algorithm successfully removes interferences across the radar operating band in the fast-time domain.
• Interferences within the respiratory frequency band are effectively suppressed in the slow-time domain.
• Experimental results show a significant improvement in signal-to-noise ratio (SNR).

Conclusions:

• The eigendecomposition-based algorithm provides robust interference suppression for life detection radar.
• The method enhances SNR crucial for reliable life detection.
• The algorithm preserves the integrity of respiratory signals, enabling accurate vital sign monitoring.