电讯技术
電訊技術
전신기술
TELECOMMUNICATIONS ENGINEERING
2014年
2期
132-138
,共7页
通信对抗%跳频信号%参数估计%时频重心%最大似然法
通信對抗%跳頻信號%參數估計%時頻重心%最大似然法
통신대항%도빈신호%삼수고계%시빈중심%최대사연법
communication countermeasure%frequency hopping signal%parameter estimation%time-fre-quency core%maximum likelihood method
针对通信对抗中跳频信号参数估计问题,考虑存在强干扰的情况下,提出了一种基于时频重心的跳频信号跳周期估计和基于跳频部分接收的跳时估计方法。对于跳周期估计,在短时傅里叶变换( STFT)时频变换的基础上提取信号随时间变化的时频重心,再结合小波变换和谱分析估计出跳频周期;对于跳时估计,采用跳频带宽的部分接收避开强干扰,构造含有跳变信息的参考信号,通过参考信号采用最大似然( ML)方法得到跳时的精确估计。仿真实验表明,算法运算复杂度低,跳频定位精度高,在强定频干扰的情况下仍能有效估计出跳频周期和起跳时刻。
針對通信對抗中跳頻信號參數估計問題,攷慮存在彊榦擾的情況下,提齣瞭一種基于時頻重心的跳頻信號跳週期估計和基于跳頻部分接收的跳時估計方法。對于跳週期估計,在短時傅裏葉變換( STFT)時頻變換的基礎上提取信號隨時間變化的時頻重心,再結閤小波變換和譜分析估計齣跳頻週期;對于跳時估計,採用跳頻帶寬的部分接收避開彊榦擾,構造含有跳變信息的參攷信號,通過參攷信號採用最大似然( ML)方法得到跳時的精確估計。倣真實驗錶明,算法運算複雜度低,跳頻定位精度高,在彊定頻榦擾的情況下仍能有效估計齣跳頻週期和起跳時刻。
침대통신대항중도빈신호삼수고계문제,고필존재강간우적정황하,제출료일충기우시빈중심적도빈신호도주기고계화기우도빈부분접수적도시고계방법。대우도주기고계,재단시부리협변환( STFT)시빈변환적기출상제취신호수시간변화적시빈중심,재결합소파변환화보분석고계출도빈주기;대우도시고계,채용도빈대관적부분접수피개강간우,구조함유도변신식적삼고신호,통과삼고신호채용최대사연( ML)방법득도도시적정학고계。방진실험표명,산법운산복잡도저,도빈정위정도고,재강정빈간우적정황하잉능유효고계출도빈주기화기도시각。
To estimate the parameters of the frequency hopping( FH) signal in communication countermeas-ures, a hop duration estimation method based on the core of time-frequency and a hop timing estimation method based on partial reception of frequency hopping signal are proposed. For hop duration estimation, on the basis of short time Fourier transform( STFT) , the core of time-frequency which varies with time is extracted, then the hop duration estimation is obtained according to wavelet transform and spectral analy-sis. For hop timing estimation,the partial reception of FH signal is adopted to avoid the strong interfer-ence,a reference signal which has the same transition information as the original signal is constructed, then a maximum likelihood estimation method is used to get the hop timing. Simulation shows that this algorithm features low computation complexity and high accuracy in time-frequency plane. The results indicate that this algorithm can estimate the hop duration and hop timing under the strong interference.