Signal processing method and system of S-band narrowband digital processor of phased array

By combining a multiphase filter bank and a deep belief network with a particle swarm optimization algorithm, the problem of insufficient processing performance of phased array antenna systems in S-band narrowband digital processors is solved, achieving higher beamforming accuracy and anti-interference capability.

CN120017111BActive Publication Date: 2026-06-26NANJING HUACHENG MICROWAVE TECH CO LTD
View PDF 2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING HUACHENG MICROWAVE TECH CO LTD
Filing Date
2025-01-10
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing phased array antenna systems lack sufficient processing performance in S-band narrowband digital processors, especially in beamforming accuracy, which is insufficient to meet the application requirements of complex environments. Traditional signal processing methods cannot fully capture subtle changes and patterns in complex environments, resulting in insufficient flexibility and adaptability.

Method used

A multiphase filter bank is used for channelization processing, combined with a deep belief network for deep extraction of signal features, and a particle swarm optimization algorithm is used to dynamically adjust beamforming. The optimal beamforming weights are searched through the optimization algorithm to achieve beamforming synthesis.

Benefits of technology

It significantly improves the processing performance and beamforming accuracy of the phased array system in S-band narrowband digital processing, enhances the system's flexibility and adaptability, and improves beam pointing accuracy and anti-interference capability.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN120017111B_ABST
    Figure CN120017111B_ABST
Patent Text Reader

Abstract

The application discloses a signal processing method and system of an S-band narrowband digital processor of a phased array, and the method comprises the following steps: receiving and pre-processing service signals from a comprehensive processor, and converting the service signals into zero intermediate frequency signals; channelizing and decomposing the signals into a plurality of sub-channels with different center frequencies and bandwidths through a multi-phase filter group; performing deep-level feature extraction on the signals of the sub-channels by using a deep belief network which is stacked by a plurality of restricted Boltzmann machines; searching for optimal beam forming weights in a feature space by using a particle swarm optimization algorithm; finally, performing beam synthesis by weighting and summing the signals of the sub-channels according to the obtained optimal weights, and converting the result back into an analog intermediate frequency signal for subsequent transmission processing. The application can improve the processing performance and the accuracy of beam forming of a phased array system in S-band narrowband digital processing.
Need to check novelty before this filing date? Find Prior Art