基于信號(hào)功率譜特征的CPM信號(hào)多參數(shù)估計(jì)算法

解輝 姚智剛 呂萌 史林 尹園威

摘? 要： 連續(xù)相位調(diào)制（CPM）信號(hào)由于其良好的頻譜特性被廣泛應(yīng)用于衛(wèi)星通信和移動(dòng)通信中。在非合作信號(hào)處理中，為實(shí)現(xiàn)對(duì)截獲CPM信號(hào)的精確干擾或盲解調(diào)，需要對(duì)其信號(hào)參數(shù)進(jìn)行精確估計(jì)。提出基于功率譜特征的CPM信號(hào)參數(shù)估計(jì)方法。首先詳細(xì)推導(dǎo)了CPM信號(hào)[N]次方變換后的功率譜特征，并根據(jù)功率譜的峰值響應(yīng)計(jì)算對(duì)應(yīng)的[N]值，最后利用[N]值對(duì)信號(hào)載頻、碼速率和調(diào)制指數(shù)分別進(jìn)行估計(jì)。仿真實(shí)驗(yàn)表明，所提算法能夠有效對(duì)CPM信號(hào)的相關(guān)參數(shù)進(jìn)行估計(jì)，可以滿足實(shí)際系統(tǒng)對(duì)CPM信號(hào)精確干擾和盲解調(diào)的需要。

關(guān)鍵詞： 參數(shù)估計(jì); CPM信號(hào); 功率譜特征推導(dǎo); 調(diào)制指數(shù)估計(jì); 性能分析; 仿真實(shí)驗(yàn)

中圖分類號(hào)： TN911.22?34? ? ? ? ? ? ? ? ? ? ? ?文獻(xiàn)標(biāo)識(shí)碼： A? ? ? ? ? ? ? ? ? ? ? ? ?文章編號(hào)： 1004?373X（2020）03?0031?05

CPM signal multi?parameter estimation algorithm based on

signal power spectrum characteristic

XIE Hui， YAO Zhigang， L? Meng， SHI Lin， YIN Yuanwei

（Department of Electronic and Optics Engineering， Shijiazhuang Campus of the Army Engineering University of PLA， Shijiazhuang 050003， China）

Abstract： Continuous phase modulation （CPM） signal is widely used in satellite and mobile communications due to its good spectral characteristics. In the non?cooperative signal processing， it is necessary to accurately estimate the signal parameters to realize accurate interference or blind demodulation to the intercepted CPM signal. In view of the above， a CPM signal parameter estimation algorithm based on power spectrum characteristics is proposed. Firstly， the transformed power spectrum characteristics of [N]?th power of CPM signal are derived in detail， and then the corresponding value of [N] is calculated according to the peak response of the power spectrum. Finally， the value of [N] is used to estimate the carrier frequency， code rate and modulation index of the signal respectively. The simulation results show that the proposed algorithm can estimate the correlative parameters of CPM signal effectively， and can satisfy the requirement of accurate interference and blind demodulation to the CPM signal in actual systems.

Keywords： parameter estimation; CPM signal; power spectrum characteristic derivation; modulation index estimation; performance analysis; simulation experiment