摘要
对于均匀Gauss背景中的SwerllingII型起伏目标的多传感器分布式恒虚警检测,为了充分利用阵列雷达接收信号间的相位关系,采用了相干检波信号处理方式。针对局部检测统计量信息量大,通信带宽小的特点,结合实际检测中信号强度未知等困难,提出了广义似然比恒虚警(GLR-CFAR)局部处理算法。仿真结果表明,该检测方式性能接近最优性能,传感器积累对信噪比改善明显,达到3～7dB,提高小信号目标的检测概率,且具有实现简单的优点。因此,此方法适合用于多雷达检测场合。
A local processing algorithm was developed for constant false alarm rate detection based on the generalized likelihood ratio test (GLR-CFAR) for multi-sensor distributed CFAR detection of Swerling type II fast fluctuating targets with homogeneous Gaussian background noise. The algorithm uses coherent demodulation to fully utilize the phase correlation among the radar array. The system can approach theorefical performance limits in practical applications. Simulations showed that the multiple sensors improved the signal noise ratio (SNR) by 3 to 7 dB and increased the true detection probability of low level signals. The algorithm is well suitable for radar array detection systems and is easily implemented.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2004年第7期950-953,共4页
Journal of Tsinghua University(Science and Technology)
基金
国家"十五"科技攻关预研项目(40106020201)
关键词
多传感器
分布式检测
广义似然比
恒虚警率
multiple sensors
distributed detection
generalized likelihood ratio test
constant false alarm rate
