正确提取目标强散射中心，并对强散射中心的能量进行有效的积累，是高分辨率雷达距离扩展目标检测的关键。
Extracting main scatter center of the target correctly and accumulating the energy of the main scatter center are the key to the high resolution radar range extension target detection.
低信噪（杂）比条件下运动点目标的检测、跟踪和识别技术是扩展制导武器系统作用距离，加强系统防御能力的关键技术之一。
Low observable small target detection, recognition and tracking algorithms are key technologies to extend the acceptance distance of guidance system and enhance the capacity of defense system.
针对多基地雷达系统跟踪近距离高加速机动目标的场合，提出了一种并行扩展卡尔曼滤波算法。
To investigate the problem of tracking a high accelerating maneuvering target with netted radar system, the parallel extended Kalman filtering algorithm is derived.
该方法首先对各距离分辨单元在方位向进行非相参积累，然后利用类似单个脉冲下扩展目标的广义似然比检测器来实现高分辨率雷达的检测。
First, each range resolving unit was accumulated non-inherently in azimuth, and then the detection of HRR target was done with the GLRT detector similar to that of the mono-pulse spread targets.
仿真结果表明变周期距离参数化扩展卡尔曼滤波算法能有效解决经典扩展卡尔曼滤波算法在纯方位角目标跟踪时可能出现的滤波发散现象，并能处理声音信号的传输时间延迟问题。
The simulation results indicate that the variable cycle RP-EKF algorithm can resolve the filtering instability of EKF for the bearing-only target tracking and the time-delay problem.
仿真结果表明变周期距离参数化扩展卡尔曼滤波算法能有效解决经典扩展卡尔曼滤波算法在纯方位角目标跟踪时可能出现的滤波发散现象，并能处理声音信号的传输时间延迟问题。
The simulation results indicate that the variable cycle RP-EKF algorithm can resolve the filtering instability of EKF for the bearing-only target tracking and the time-delay problem.
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