一种米波相控阵雷达四代机目标检测算法
doi: 10.3724/SP.J.1146.2012.01249
The Fourth Generation Fighters Detection Algorithm for Metric-band Phased Array Radar
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摘要: 四代机目标具有隐身、高速、高机动等特点,传统雷达对其检测失效。该文以米波相控阵雷达为背景,利用米波段反隐身特性和相控阵天线波束控制灵活的优势,提出了一种四代机目标长时间相参积累检测算法。首先利用修正的Keystone变换校正距离徙动,然后把各个距离单元数据变换到时频平面内,利用Sandglass变换解除慢时间域信号双线性变换中的时延和慢时间的耦合,最后通过2维快速傅里叶变换进行长时间相参积累和目标检测,仿真实验验证了所提算法的有效性。同时,该算法不需要进行搜索,且可通过快速变换算法实现,因此具有运算效率高,便于工程实现的优点。Abstract: The fourth generation fighters have the feature of stealth, supersonic and maneuvering, and detection performance of the fighters with traditional radar is bad. Considering the metric-band phased array radar, and using its feature of anti-stealth and agile beam forming ability, a novel long term coherent integration detection algorithm of the fourth generation fighters is proposed. First the modified Keystone transform is used to correct the range cell migration, and then each range cell data is transformed to the time-frequency plane, and Sandglass transform is used to solve the coupling effect between the delay and slow time of the bilinear transformation. Finally, the two dimensional FFT is performed to complete the long term coherent integration and target detection, and the effectiveness of the algorithm is verified by Monte Carlo simulation. At the same time, the algorithm does not need to search, and can be realized by high efficient operation.
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