A multi-frame equalization method for a channel with medium signal-to-noise ratio based on measured data

By employing a multi-frame medium signal-to-noise ratio channel equalization method based on measured data, and utilizing MTD processing and coherent accumulation techniques, the problem of channel equalization under weak signal-to-noise ratio conditions is solved. This method achieves efficient channel calibration and signal enhancement, adapts to various scenario requirements, and reduces the complexity of field experiments.

CN121522585BActive Publication Date: 2026-07-21CNGC INST NO 206 OF CHINA ARMS IND GRP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CNGC INST NO 206 OF CHINA ARMS IND GRP
Filing Date
2025-11-13
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Under weak signal-to-noise ratio (SNR) conditions, traditional channel equalization methods struggle to accurately extract channel distortion information, leading to degraded equalization filter performance. Furthermore, they are highly dependent on high SNR, making it difficult to achieve effective channel equalization in field experiments.

Method used

A multi-frame medium signal-to-noise ratio channel equalization method based on measured data is adopted. The target and clutter are separated by MTD processing, pulse compression and normalization of multi-frame pulse compression results are performed, coherent accumulation is used to enhance signal energy, and channel calibration is achieved by combining time-domain or frequency-domain equalization algorithms.

Benefits of technology

It simplifies the complexity of the equalization algorithm, breaks through the bottleneck of equalization accuracy under weak channels, improves the main lobe-to-side lobe ratio of the signal, adapts to the needs of multiple scenarios, reduces the requirements for field experiments, and realizes real-time channel equalization.

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Abstract

The application particularly relates to a multi-frame medium signal-to-noise ratio channel equalization method based on measured data, which is based on a multi-frame pulse coherent accumulation principle, first performs MTD on single-frame CPI data to realize moving target and ground clutter separation, then extracts target echo for pulse compression processing, then takes multi-frame pulse compression data for envelope alignment and peak value normalization, and after normalization, inter-frame complex accumulation is carried out, on the premise of not needing additional hardware cost investment, the mainlobe-to-sidelobe ratio gain of target pulse compression result is significantly improved, meanwhile, accurate channel equalization is realized based on ideal pulse compression result, the dependence of a traditional channel equalization algorithm on high signal-to-noise ratio is avoided, and MTD moving target detection of each frame of data is considered. The measured result shows that the algorithm can effectively improve the echo signal-to-noise ratio through multi-frame target pulse compression result coherent accumulation under single-frame medium signal-to-noise ratio, then channel equalization is carried out, the algorithm is convenient to realize, and the experimental efficiency in an outfield can be greatly improved.
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