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2010 1

2009 1

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LMS 1

单波束测距 1

四元数；梯度；信号处理；最小均方算法；非线性自适应滤波；波束形成 1

微地形测距 1

海底钴结壳 1

自适应滤波法 1

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基于LMS自适应时延估计法的微地形测距系统研究

刘爱军,周知进,卜英勇,龙迎春

《中国工程科学》 2009年第11卷第8期页码 79-82

摘要：

根据单波束超声波测距原理，向模拟海底钴结壳微地形的水池表面发射超声波，应用自适应滤波方法可以估计超声回波信号的时延，使最小均方误差（LMS

关键词：海底钴结壳微地形测距 LMS 单波束测距自适应滤波法

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Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator

Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG,

《机械工程前沿（英文）》 2010年第5卷第2期页码 176-183 doi: 10.1007/s11465-010-0001-5

摘要： The structure and principle of a new type of a diphase opposition giant magnetostrictive self-sensing actuator is introduced. A bridge analysis model based on variable inductance is established. Dynamic balance separation technology for the giant magnetostrictive self-sensing actuator comes true by the least means square (LMS) self-adapting algorithm. The scheme design of one important part of the circuit with the real-time separation circuit of the dynamic balance signal based on a digital signal processor is obtained. The part of the signal separated circuit is designed, which includes logarithmic-antilog practical multiplication circuit, amplifying circuit, filter circuits, and amplifier circuit. Based on the embedded system simulation software—PROTUES, the simulation effect of the circuit that separates the sensing signal from the mixed signals is obvious, which indicates that the circuit can rapidly and stably work. Moreover, the structure is simple, reliable, and meets the practical requirement.

关键词： giant magnetostrictive material (GMM) self-sensing actuator least means square (LMS) self-adapting algorithm design of self-adaptive circuit