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极低信噪比环境下含近邻约束的改进唐检测判决算法
Improved Tong multiple trial algorithm with near neighbor constraint in extremely low SNR condition
【摘要】 极低信噪比环境下的伪码连续波测量雷达初始粗同步捕获过程中,为了增加唐检测判决算法的灵敏度,除门限条件外,引入前后两次单次检测捕获的伪码相位估计值之差在一定范围内的近邻约束作为上/下行计数器值增减的条件。通过对唐检测判决过程建立马尔可夫链模型,对引入近邻约束的改进唐检测算法的检测性能进行了理论分析与推导。仿真结果表明,将近邻约束引入唐检测判决算法,可以在检测概率几乎不变的情况下,大幅度降低虚警概率,即改进算法明显地增强了对微弱信号的检测能力,且检测速度不受影响。
【Abstract】 For signal acquisition of measurement radar with pseudo-noise code modulated continuous wave in extremely low SNR condition,in order to enhance the sensitivity of Tong algorithm the pseudo-noise code phase differences between two single detections are introduced as near neighbor constraint within a certain range to decide the increase or decrease in value of up/down counter except the threshold condition.The mathematical model of Tong algorithm based on Markov chain is built to analyze the detection performance of improved Tong algorithm with near neighbor constraint.The simulation results show that this architecture can substantially reduce the probability of false alarm while the probability of detection remains almost unchanged,therefore,the detection ability is enhanced compared with the traditional Tong algorithm while the detection speed remains unaffected.
【Key words】 measurement radar; Tong detector; detection performance; Markov chain; transition probability;
- 【文献出处】 系统工程与电子技术 ,Systems Engineering and Electronics , 编辑部邮箱 ,2011年08期
- 【分类号】V243.2
- 【被引频次】14
- 【下载频次】228