Application of adaptive digital filter in airborne weapon test system
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摘要: 针对飞机机载武器设备特点和测试维修要求，在分析了自适应滤波器的结构、最优评估等特性基础上，根据现场可编程门阵列（FPGA）的设计过程，构建了基于最小均方误差（LMS）算法的横向自适应滤波器。仿真结果和使用表明：设计实现的自适应滤波器，在FPGA中开辟512kB的随机存储器（RAM）存储空间，能够实现权值系数向量的自动调节，且适应信号变化的特性，滤波后的信号测试误差不大于5%，且LMS算法在0.1ms内可收敛到最优，满足数据处理的实时性和机载武器系统测试的要求。Abstract: Aiming at the characteristics and test requirements of airborne weapons, the transverse adaptive digital filter (ADF) was built with least mean-square error (LMS) algorithm based on the analysis of ADF structure and optimization evaluation, and according to the design process of field programmable gate array (FPGA). The simulation result and application show that the ADF can realize the automatic adjustment of the weight coefficient vector and adapt to the characteristics of signals by creating 512kB random-access memory (RAM) space in FPGA. Since the LMS algorithm can get the best result in 0.1ms, the ADF designed in this paper can satisfy the test system of airborne weapons and the signal test error is less than 5%.
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Keywords:
- ADF /
- optimization evaluation /
- adaptive algorithm /
- FPGA /
- weapon system test
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