电讯技术2026，Vol.66Issue(9)：1429-1435,7.DOI:10.20079/j.issn.1001-893x.250209001
基于数据预处理BiLSTM的遥测信道CPM信号检测
Telemetry Channel CPM Signal Detection Based on BiLSTM with Data Preprocessing
王乐 1黄秋霞 1武凯锋1
作者信息
- 1. 北方工业大学 人工智能与计算机学院,北京 100144
- 折叠
摘要
Abstract
In the telemetry channel,after channel estimation and equalization,the maximum likelihood sequence detection algorithm,which has the optimal detection performance under Gaussian channel,faces a serious challenge of significant decline in bit error rate(BER).Considering the memory characteristics between symbols of the telemetry modulation signal,the authors propose a detection method based on the bidirectional long short-term memory(BiLSTM)with data preprocessing.According to the inter-symbol memory length,the equalized sequence is transformed to structured inputs by symbol recoding and feature windowing preprocessing.The results of the ablation experiment demonstrate that the method reduces the BER under various signal-to-noise ratios(SNRs),and effectively enhances the detection performance of subsequent networks.At a BER of 1×10-4,the proposed method achieves about 4 dB gain compared with the traditional maximum likelihood sequence detection method.关键词
遥测信道/连续相位调制信号/最大似然序列检测/深度学习/双向长短期记忆(BiLSTM)网络Key words
telemetry channel/CPM signal/maximum likelihood sequence detection/deep learning/bidirectional long short-term memory(BiLSTM)network分类
信息技术与安全科学引用本文复制引用
王乐,黄秋霞,武凯锋..基于数据预处理BiLSTM的遥测信道CPM信号检测[J].电讯技术,2026,66(9):1429-1435,7.
