三种谐波族检测算法的性能对比

Comparison among the capabilities of three algorithms on detection of harmonic set signal

基于高阶累积量谱、时序循环平稳信号分析、时频面Hough变换等预处理方法,给出了相对应的三种谐波族信号基频搜索与检测算法,并在2阶、4阶、8阶谐波情形下,应用于受白噪声污染的模拟谐波族信号、实测无人机信号和实测直升机信号等三种谐波族信号的检测概率的计算。计算结果表明,随着阶数的提高,三种算法对目标的检测性能均有所提高;对于上述三种不同信号,其基频搜索与检测能力最好的算法有所不同。所给出的谐波族信号基频搜索与检测算法将在直升机、无人机等目标的检测应用中发挥更好的作用。

Detection algorithms on harmonic set signal are deduced on the bases of Higher-order spectra, Cyclostationary Analysis, and Hough transformation of the time-frequency distribution. These algorithms are applied in detection of target of simulated harmonic set signal, helicopter signal, and UAV signal of order 2, order 4, and order 8 respectively. All those signals are polluted with white noise. The results show that the detection ratio rises with order in each algorithm. The target which gets the highest detection ratio by the use of these algorithms does not remain constant. These detection algorithms can play more important role in detection of targets such as helicopter, and UAV.