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介绍了基于极性相关时延估计算法的实现:硬件上系统采用新一代低功耗高速处理器MSP430F5438A单片机,软件方面采用C语言和汇编语言混合编写而成;数据采集和极性相关时延估计算法要求实时性高,结合MSP430F5438A内部硬件乘法和累加器,采用汇编指令完成;其它初始化和操作存储器、预置参数等程序采用C语言完成。硬件、软件设计完成后通过消声水池实验,结果表明该设计能够对目标声源进行快速准确时延估计。
The implementation of the algorithm based on the polarity-dependent delay estimation is introduced. The hardware of the system uses a new generation of low-power high-speed processor MSP430F5438A microcontroller, software written in C language and assembly language; data acquisition and polarity-dependent delay estimation The algorithm requires real-time high, combined with MSP430F5438A internal hardware multiply and accumulator, the use of assembly instructions to complete; other initialization and operation of memory, preset parameters and other programs using C language to complete. After the hardware and software design were completed, the experiment was carried out through the anechoic sink. The result shows that the design can estimate the target sound source quickly and accurately.