multi-radar tracking

This paper presents the approaches of multi sensor (radar and infrared sensor) data fusion for object recognition and tracking, which can make use of the complement and redundancy of data.

考虑到单传感器的系统存在着局限性，提出了基于多传感器(雷达和红外)信号融合的目标识别和跟踪系统，以利用数据的互补和冗余。

During radar tracking target in low elevation, the measuring error of tracked target was removed or reduced with array antenna beam forming technique that can reduce the multi-path error.

当雷达在低仰角跟踪时，降低多径误差的阵列天线波束的形成技术，可消除或降低低仰角跟踪目标时的测量误差。

Variable sampling rate tracking, which is based on nets or grids multi-sensor asynchronous fusion tracking, is an important operating modes in phased array radar.

变采样率跟踪是相控阵雷达的一种重要工作模式，是基于网络或栅格多传感器异步融合跟踪的基础。