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研究了雷达测量系统对运动目标进行精确识别和跟踪中的数据压缩技术．首先求出了不依赖信源统计特性的预测系数ａｉ，并给出了一个判决定理．然后，以预测技术为基础，提出了两个对相关性较强的数据进行实时无失真压缩的新算法，并从编码速度、时延、误码扩散、自同步和压缩比等方面进行了讨论．仿真实验表明，新算法优于现有算法．
The technique of data compression in the precise recognition and tracking of moving targets by radar measurement system is studied. First, we get the prediction coefficient ai independent of the source statistics, and give a decision theorem. Then, based on the prediction technique, two new algorithms for real-time lossless compression of strongly correlated data are proposed and discussed in terms of encoding speed, delay, error diffusion, self-synchronization and compression ratio . Simulation results show that the new algorithm is superior to the existing one.