An effective method of multiple input multiple output （MIMO） radar weak target detection is proposed based on the Hough transform. The detection time duration is divided into multiple coherent processing intervals ...An effective method of multiple input multiple output （MIMO） radar weak target detection is proposed based on the Hough transform. The detection time duration is divided into multiple coherent processing intervals （CPIs）. Within each CPI, conventional methods such as fast Fourier transform （FFT） is exploit to coherent inte- grating in same range cell. Furthermore, noncoherent integration through several range cells can be implemented by Hough transform among all CPIs. Thus, higher integration gain can be obtained. Simulation results are also given to demonstrate that the detection performance of weak moving target can be dramatically improved.展开更多
针对密集杂波环境中的弱小目标检测问题,提出了一种改进Hough变换的检测前跟踪算法,解决Hough变换参数空间峰值簇拥导致虚假轨迹较多的问题。采用样本方差信息对非相参积累值进行加权,利用时间信息抑制部分杂波和噪声积累峰值,改进非相...针对密集杂波环境中的弱小目标检测问题,提出了一种改进Hough变换的检测前跟踪算法,解决Hough变换参数空间峰值簇拥导致虚假轨迹较多的问题。采用样本方差信息对非相参积累值进行加权,利用时间信息抑制部分杂波和噪声积累峰值,改进非相参积累的积累方法;依据各单元的积累值对局部峰值簇拥的几个单元进行融合处理,改进阈值提取的峰值提取方法。仿真分析表明,改进算法检测目标虚假轨迹少于标准Hough变换方法,与先检测后跟踪方法相比,改进算法有3~4 d B信噪比得益。展开更多
文摘An effective method of multiple input multiple output （MIMO） radar weak target detection is proposed based on the Hough transform. The detection time duration is divided into multiple coherent processing intervals （CPIs）. Within each CPI, conventional methods such as fast Fourier transform （FFT） is exploit to coherent inte- grating in same range cell. Furthermore, noncoherent integration through several range cells can be implemented by Hough transform among all CPIs. Thus, higher integration gain can be obtained. Simulation results are also given to demonstrate that the detection performance of weak moving target can be dramatically improved.
文摘针对密集杂波环境中的弱小目标检测问题,提出了一种改进Hough变换的检测前跟踪算法,解决Hough变换参数空间峰值簇拥导致虚假轨迹较多的问题。采用样本方差信息对非相参积累值进行加权,利用时间信息抑制部分杂波和噪声积累峰值,改进非相参积累的积累方法;依据各单元的积累值对局部峰值簇拥的几个单元进行融合处理,改进阈值提取的峰值提取方法。仿真分析表明,改进算法检测目标虚假轨迹少于标准Hough变换方法,与先检测后跟踪方法相比,改进算法有3~4 d B信噪比得益。
