短波信道下的跳频信号检测

针对复杂环境下跳频信号的检测问题，提出一种基于能量特征提取的检测算法.该算法可以准确判断信道内跳频信号的存在性.首先将接收数据投影到能量域内进行白化，抑制接收信号中存在的色噪声；然后通过能量分布特征提取信道内存在的时域连续信号，去除接收信号中存在的短时突发信号；最后利用信道化处理将接收信号分解到各个子信道，通过短时能量对消的方法来检测跳频信号的存在性.对该算法的统计特性，虚警概率和检测概率进行理论推导，并对检测流程进行了实验仿真，验证了算法有效性.

Frequency Hopping Signal Detection over the Short-Wave Channel

A detection algorithm based on energy feature extraction is proposed for the detection of frequency-hopping signals in complex environments.The algorithm can accurately determine the existence of frequency hopping signal in the channel.Firstly,the receiving data is projected into the energy domain to be whitened,and the color noise in the receiving signal is suppressed.Then,the time-domain continuous signal in the channel is extracted through the energy distribution feature to remove the short-term burst signal in the receiving signal.Finally,the channel processing is used to decompose the receiving signal into each subchannel and detect the existence of frequency-hopping signal by means of short-term energy cancellation.The statistical properties of the algorithm,the false alarm probability and the detection probability are theoretically derived,and the experimental simulation is carried out to verify the effectiveness of the algorithm.