基于功率谱分段对消算法的跳频信号检测

Frequency Hopping Signal Detection Based on Power Spectrum Cancellation Algorithm

针对跳频信号的检测,以传统功率谱对消检测算法为基础,弥补传统的功率谱对消检测方案在算法通用性、实用性等方面的不足,设计了一种新型的基于功率谱对消的跳频信号检测算法。与现有的基于自相关和能量检测的算法相比,该算法无需对跳频信号的跳频周期、跳频图案、频率跳变时刻等参数作任何假设,并构造了一个确定阈值的判决参数,以满足不同信号条件下的检测。利用该检测方案,在大幅降低算法运算复杂度的前提下,可实现对跳频信号、定频信号、高斯白噪声信号的同步检测。通过大量仿真,证明该算法相比自相关检测算法具有更好的鲁棒性以及更少的计算量。

For blind detection of frequency hopping signals, this paper proposes a new kind of frequency hopping signal detection algorithm based on power spectrum cancellation. It compensates the lack of traditional power spectrum cancellation algorithm in versatility, practicality and other aspects. Compared with the existing algorithm based on autocorrelation or energy, it does not need any assumption about hopping rate or alphabet of hopping frequencies, and constructed a decision parameter with determining threshold to meet the testing under different signal conditions. Using this detection scheme, on the premise of greatly reduced computation complexity, it can realize the detection of frequency hopping signal, fixed frequency signals and Gaussian white noise signal. A large number of simulation results show that compared with traditional detection scheme, this algorithm is more robust and has less computation.