CAJ | 학술논문

在强干扰环境下对多载波雷达信号的幅度检测是实现空中目标打击的关键技术.传统方法中,对雷达信号的幅度检测采用时频耦合算法,如果信号和背景噪声有很强干扰和多载波特征时,检测性能不好.提出一种基于分数阶Fourier时频耦合的信号幅度检测算法.构建强干扰环境,描述雷达信号的宽度和深度等特征量,对多载波雷达信号进行分数阶Fourier变换,对目标回波的尺度和时延进行估计,求解相位模糊数搜索结合解,得到雷达信号参数相位补偿结果,根据雷达信号特征量聚点塑造特征量模型运算雷达信号的特征量聚点,获取高特征量聚集区域,通过后置的高阶累积量切片,使信号的累积量增大,而噪声被抑制提高了检测精度.仿真实验表明,算法的检测概率较高,幅度检测能很好地跟踪信号幅度的变化.
재강간우배경하대다재파뢰체신호적폭도검측시실현공중목표타격적관건기술.전통방법중,대뢰체신호적폭도검측채용시빈우합산법,여과신호화배경조성유흔강간우화다재파특정시,검측성능불호.제출일충기우분수계Fourier시빈우합적신호폭도검측산법.구건강간우배경,묘술뢰체신호적관도화심도등특정량,대다재파뢰체신호진행분수계Fourier변환,대목표회파적척도화시연진행고계,구해상위모호수수색결합해,득도뢰체신호삼수상위보상결과,근거뢰체신호특정량취점소조특정량모형운산뢰체신호적특정량취점,획취고특정량취집구역,통과후치적고계루적량절편,사신호적루적량증대,이조성피억제제고료검측정도.방진실험표명,산법적검측개솔교고,폭도검측능흔호지근종신호폭도적변화.
Under the condition of strong interference on the detection range of multi carrier radar signal is a key technology to implement air targets. In the traditional method, is adopted for the detection of radar signal when the amplitude frequen-cy coupling algorithm, if the signal and the background noise has the very strong interference and multi carrier characteris-tic, the detection performance is not good. A fractional order Fourier signal detection algorithm is proposed based on ampli-tude frequency coupling. Building a strong interference environment, describe the width and depth of the characteristic quantity of radar signal, fractional Fourier transform of multi carrier radar signal, target echo on the scale and time delay es-timation, solving phase fuzzy number search combined with solution, get the radar signal parameter phase compensation re-sults, according to the radar signal characteristic quantity accumulation characteristic quantity accumulation shape feature model calculation of radar signal, obtaining high characteristic quantity accumulation area, through the high order cumulant slice post, the accumulated amount of signal and noise suppression is increased, to improve the accuracy of detection, simu-lation results show that the higher the detection probability of this algorithm, the amplitude of change detection is able to track the signal amplitude.