采用非对角1-D切片的码片速率盲估计
发布时间：2018-12-05 15:20
【摘要】：在通信侦察识别中,通信信号的码元速率估计是调制识别和信息解调的前提和基础。针对直接序列扩频信号的伪码码片速率估计问题,提出了一种利用联合循环高阶累积量非对角1-D切片特征参数,对直扩信号码片速率进行盲估计的改进算法。该算法将采样信号不同延时的非对角1-D切片进行联合处理,通过自相关、快速傅里叶变换、求模平方等方法,增强了谱线特征。仿真实验证明,改进算法较2-D切片算法简化了计算,并且在更低信噪比条件下,实现了对无先验信息直接序列扩频信号的码片速率盲估计。
[Abstract]:In communication reconnaissance recognition, the symbol rate estimation of communication signal is the premise and foundation of modulation recognition and information demodulation. In order to solve the problem of PN code chip rate estimation for direct sequence spread spectrum signals, an improved algorithm for blind estimation of direct sequence spread spectrum (DSSS) signal chip rate is proposed, which utilizes the combined cyclic high order cumulant nondiagonal 1-D slice characteristic parameters. In this algorithm, the non-diagonal 1-D slices with different time delays are processed jointly, and the spectral line features are enhanced by autocorrelation, fast Fourier transform and modulus squared. The simulation results show that the improved algorithm simplifies the calculation compared with the 2-D slice algorithm and realizes blind chip rate estimation for the spread spectrum signals without prior information under lower SNR.
【作者单位】： 总参第54研究所;海军航空工程学院电子信息工程系;中国人民解放军第92677部队;
【基金】：国家自然科学基金资助项目(61102167)
【分类号】：TN971
本文编号：2365262
[Abstract]:In communication reconnaissance recognition, the symbol rate estimation of communication signal is the premise and foundation of modulation recognition and information demodulation. In order to solve the problem of PN code chip rate estimation for direct sequence spread spectrum signals, an improved algorithm for blind estimation of direct sequence spread spectrum (DSSS) signal chip rate is proposed, which utilizes the combined cyclic high order cumulant nondiagonal 1-D slice characteristic parameters. In this algorithm, the non-diagonal 1-D slices with different time delays are processed jointly, and the spectral line features are enhanced by autocorrelation, fast Fourier transform and modulus squared. The simulation results show that the improved algorithm simplifies the calculation compared with the 2-D slice algorithm and realizes blind chip rate estimation for the spread spectrum signals without prior information under lower SNR.
【作者单位】： 总参第54研究所;海军航空工程学院电子信息工程系;中国人民解放军第92677部队;
【基金】：国家自然科学基金资助项目(61102167)
【分类号】：TN971
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