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作 者:刘义海[1] 张效民[1] 赵延安[1] 邵剑锋[1]
出 处:《计算机测量与控制》2012年第2期470-473,共4页Computer Measurement &Control
基 金:船舶工业国防科技预研基金(10J4.5.1)
摘 要:针对新一代水下长期值更的被动目标识别系统的开发需求,研究并开发了一种低功耗、识别实时、准确的目标识别系统,该系统以低功耗芯片MSP430F5438与TMS320C5509A处理器为核心,配合大动态范围的模拟预处理系统,构建硬件平台,利用目标信号的小波变换域特征和轴频特征,实现了对舰船目标信号的识别和大小船分类;湖上和海上实验识别结果表明设计的系统平均正确检测概率达到83%,满足实际应用要求;由于采用周期性上电识别模式和超低功耗设计理论,设计的系统工作功耗低,识别算法全速运行时仍小于70mW,满足水下长期值更工作的特殊要求,有很好的开发应用前景。In order to satisfy the needs for the new generation passive underwater target recognition system which must be of great ultra-low power for long-time working,real-time working,accuracy,the paper presents a design of hardware platform based on ultra-low power devices MSP430F5438,TMS320VC5509A and large dynamic range preprocessing module.Benefiting from the energy feature and the module maximum feature in some wavelet transform band and shaft frequency feature extracted by a fuzzy model,the whole system holds the capacity of high accuracy while the system is real time working.The results of experiments show that the designed system provides a good performance of low power consumption(less than 70mw when it works in a full speed operation mode),real time computation,and accuracy.The detection and recognition Probability of the system reached 83%,which matches the factors that the new generation passive underwater target recognition system expects,and has a good application prospect.
关 键 词:低功耗系统 目标识别 小波变换 基频 数字信号处理器
分 类 号:TP181[自动化与计算机技术—控制理论与控制工程] V24[自动化与计算机技术—控制科学与工程]
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