CAJ | 학술논문

在直升机和无人机等目标的检测和识别方面,常用的方法没有充分利用目标信号的谐波特性,易受实战环境下强噪声和干扰的影响而降低检测能力.采用两个途径提高检测能力:利用谐波信号的相干特性,采用循环处理方法降低随机噪声和干扰的影响;采用频率分集分析和处理方法,将各阶谐波的循环平稳特征融合,提高抗干扰能力.计算结果表明,循环平稳处理方法可以正确的提取信号的频率特征;融合处理方法能在信噪比为2 dB甚至更低时检测谐波信号的循环平稳特征.该方法在多个领域具有较好的应用前景.
재직승궤화무인궤등목표적검측화식별방면,상용적방법몰유충분이용목표신호적해파특성,역수실전배경하강조성화간우적영향이강저검측능력.채용량개도경제고검측능력:이용해파신호적상간특성,채용순배처리방법강저수궤조성화간우적영향;채용빈솔분집분석화처리방법,장각계해파적순배평은특정융합,제고항간우능력.계산결과표명,순배평은처리방법가이정학적제취신호적빈솔특정;융합처리방법능재신조비위2 dB심지경저시검측해파신호적순배평은특정.해방법재다개영역구유교호적응용전경.
For the detection and identification of helicopters and UAV, the common methods do not take full ad-vantage of the harmonic characteristics of the target signals, and are vulnerable to environment noise and inter-ference on the battlefield,so the detection ratio is reduced Efforts to improve the detection ability are done in two ways:first,according to the coherence properties of harmonic signals, the cyclostationary analysis arithmetic is used to reduce the effect of the noise; second, the frequency diversity concept is used to analyze and fuse the harmonic signal feature. The results show that the cyclostationary analysis arithmetic can accurately extract the frequency characteristics of signals,and the fusion arithmetic can detect signal with SNR as low as 2 dB or even lower. This method has a good prospect in more application.