米波双基地雷达长时间相参积累算法

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。针对这一问题，本文结合米波雷达和双基地雷达的优势，研究了米波双基地雷达的四代机目标检测特性。首先给出了米波双基地雷达目标回波信号模型，并对距离徙动和多普勒徙动特性进行了分析；在此基础上，提出了基于Keystone变换的米波双基地雷达长时间相参积累算法。该算法在距离频域-方位时域利用Keystone变换补偿距离徙动，并利用FFT实现长时间相参积累。最后，Monte Carlo仿真实验验证了所提算法的有效性。本文所提算法为四代机目标检测提供了新的技术途径。 

Long Term Coherent Integration Algorithm for Metric-band Bistatic Radar

The fourth generation fighters have the feature of stealth, supersonic and maneuvering, and detection performance of the fighters with traditional radar is bad. To solve the problem, the detection performance of the fighters for metric-band bistatic radar is studied which combines the advantage of metric-band radar and bistatic radar. First the signal model of metric-band bistatic radar target echo is presented, and the characteristic of range cell migration and Doppler cell migration are analyzed. Then the Keystone transform based long term coherent integration algorithm for metric-band bistatic radar is proposed. The algorithm compensates the range cell migration by Keystone transform and performs long term coherent integration with FFT. Finally, the effectiveness of the algorithm is verified by Monte Carlo simulation. The proposed algorithm provides a novel technical approach for the detection of fourth generation fighters.