ESPRIT算法在CHESS电台频率检测中的应用研究

差分跳频(DPH)是一种新的高速短波通信体制,它利用相邻跳变频率的变化而不是载频本身来携带信息.跳变频率检测是实现DFH的关键技术之一.文章中研究了高斯噪声下基于ESPRIT算法的DFH信号频率检测.同时通过仿真与MUSIC算法和FFT算法进行了比较,仿真结果表明该方法的检测性能明显优于FFT算法,与MUSIC算法的检测性能基本相同,计算量却小于MUSIC算法.

Research on Application of ESPRIT Algorithm in CHESS Frequency Detection

DFH is a new HF communication system with high speed data rates. The information is carried by with the change of the adjacent frequencies but not the frequency itself. One of the key techniques for DFH is the FH detection. This paper discusses the ESPRIT algorithm based FH detection of the DFH signal on the AWGN channel. The algorithm is compared with the MUSIC and FFT algorithm through simulation. The result shows that the performance of ESPRIT algorithm is more effective than FFT, and almost the same as ...