By using the sparsity of frequency hopping（FH） signals,an underdetermined blind source separation（UBSS） algorithm is presented. Firstly, the short time Fourier transform（STFT） is performed on the mixed signals. ...By using the sparsity of frequency hopping（FH） signals,an underdetermined blind source separation（UBSS） algorithm is presented. Firstly, the short time Fourier transform（STFT） is performed on the mixed signals. Then, the mixing matrix, hopping frequencies, hopping instants and the hooping rate can be estimated by the K-means clustering algorithm. With the estimated mixing matrix, the directions of arrival（DOA） of source signals can be obtained. Then, the FH signals are sorted and the FH pattern is obtained. Finally, the shortest path algorithm is adopted to recover the time domain signals. Simulation results show that the correlation coefficient between the estimated FH signal and the source signal is above 0.9 when the signal-to-noise ratio（SNR） is higher than 0 d B and hopping parameters of multiple FH signals in the synchronous orthogonal FH network can be accurately estimated and sorted under the underdetermined conditions.展开更多
在瑞利衰落信道下,分析了跳频通信中噪声跟踪干扰的检测性能.应用认知无线电中协作频谱感知的思想,研究了AWGN(Additive White Gaussian Noise)信道下单跳信号存在干扰的检测性能,在此基础上,推导得到了瑞利衰落信道下的检测概率和虚警...在瑞利衰落信道下,分析了跳频通信中噪声跟踪干扰的检测性能.应用认知无线电中协作频谱感知的思想,研究了AWGN(Additive White Gaussian Noise)信道下单跳信号存在干扰的检测性能,在此基础上,推导得到了瑞利衰落信道下的检测概率和虚警概率,应用硬判决中的"k out of n"准则,得到了瑞利衰落信道下噪声跟踪干扰的检测概率.仿真结果验证了理论分析的正确性.展开更多
基金supported by the National Natural Science Foundation of China(6120113461201135)+2 种基金the 111 Project(B08038)the Fundamental Research Funds for the Central Universities(72124669)the Open Research Fund of the Academy of Application(2014CXJJ-TX06)
文摘By using the sparsity of frequency hopping（FH） signals,an underdetermined blind source separation（UBSS） algorithm is presented. Firstly, the short time Fourier transform（STFT） is performed on the mixed signals. Then, the mixing matrix, hopping frequencies, hopping instants and the hooping rate can be estimated by the K-means clustering algorithm. With the estimated mixing matrix, the directions of arrival（DOA） of source signals can be obtained. Then, the FH signals are sorted and the FH pattern is obtained. Finally, the shortest path algorithm is adopted to recover the time domain signals. Simulation results show that the correlation coefficient between the estimated FH signal and the source signal is above 0.9 when the signal-to-noise ratio（SNR） is higher than 0 d B and hopping parameters of multiple FH signals in the synchronous orthogonal FH network can be accurately estimated and sorted under the underdetermined conditions.
文摘在瑞利衰落信道下,分析了跳频通信中噪声跟踪干扰的检测性能.应用认知无线电中协作频谱感知的思想,研究了AWGN(Additive White Gaussian Noise)信道下单跳信号存在干扰的检测性能,在此基础上,推导得到了瑞利衰落信道下的检测概率和虚警概率,应用硬判决中的"k out of n"准则,得到了瑞利衰落信道下噪声跟踪干扰的检测概率.仿真结果验证了理论分析的正确性.
