Systems Engineering and Electronics ›› 2024, Vol. 46 ›› Issue (5): 1801-1809.doi: 10.12305/j.issn.1001-506X.2024.05.33

• Communications and Networks • Previous Articles    

Dynamic digital channelized sub-band detection algorithm based on eigenvalue distribution

Xiaohui LI, Hongjie WAN, Mingli SHI, Xianwen WANG   

  1. School of Telecommunications Engineering, Xidian University, Xi'an 710071, China
  • Received:2022-04-09 Online:2024-04-30 Published:2024-04-30
  • Contact: Hongjie WAN

Abstract:

The dynamic digital channelized receiving structure detects all sub-bands to determine if there is a signal. The detection results provide a basis for processing the integrated filter bank, so it plays a vital role in the receiving structure. Since the poor performance of the traditional detection algorithm under low signal-to-noise ratio(SNR), a novel detection algorithm based on the ratio of the difference between the maximum and minimum eigen values to the average eigenvalue is proposed according to the random matrix theory. The detection threshold of the algorithm is derived by using the limit distribution law of the average eigenvalue and the minimum eigenvalue. Then, the algorithm is optimized according to the eigenvalue information obtained from all sub-band data. Finally, the performance of the proposed algorithm under different factors is analyzed in the dynamic digital channelized receiving structure, which shows that the algorithm can overcome the effects of the low SNR and perform better in the sub-band detection process.

Key words: dynamic digital channelized receive, sub-band signal detection, random matrix, eigenvalue detection

CLC Number: 

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