由DSP技术实现卡尔曼滤波算法初探

分析了现有机动目标数学模型及其卡尔曼滤波算法，并用数字信号处理器（ＤＳＰ）对１个实际算法进行了实验。实验结果表明，目标机动性能的提高将使坦克火控系统由于采用现行目标运动模型而产生较大的误差。因此，在火控系统中采用其他模型，如自适应模型等，势在必行。同时，对于跟踪精度高，实时计算量大的卡尔曼滤波算法，应用ＤＳＰ技术实现具有良好的发展前景

Implementation of Kalman Filtering with Digital Signal Processor

The authors analyse the main models of maneuvering targets and their Kalman filtering algorithm,and experiment on a practical algorithm with digital signal processor(DSP).The experiment results show that the tank fire control system adopted uniform velocity motion model will produce more errors,so it's necessary to use other models such as adaptive model.And using DSP to achieve the Kalman filtering algorithm and satisfies the real time need.