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盲解卷积与窄带阵列模型结合的信号分离算法
Algorithm of Signal Separation Combined With Narrowband Signal Blind Deconvolution and Array Model
【摘要】 在水声制导技术中,提出了一种高效分离算法,实现了对多目标源信号的分离,为系统后端对多目标定位提供了技术支持。窄带信号条件下,把盲分离与阵列信号处理结合起来,借助阵列模型把接收的混合信号变成解析信号,然后利用瞬时复值盲分离算法进行分离获得源信号的解析信号,取实部后便是实源信号。从而将实数的卷积混合转化为复数的瞬时混合,在盲分离阵列模型的基础上,通过复数盲分离的手段完成盲解卷积。解卷积恢复的多目标源信号十分有利于多目标特征识别与定位。通过构建正弦信号盲解卷积仿真实验,对文中提出的盲解卷积方法进行了验证。结果表明了该方法的正确性。
【Abstract】 In hydro-acoustics guide and control application,a highly active algorithm which provides the technical supports is proposed,and the separation of the signals of mutual targets is realized. Considering the signals as narrowband,the real number convolution mixture to complex number instantaneous mixture is transformed by using blind separation and array signal processing techniques. Based on array model of blind separation,the blind deconvolution via complex number blind separation is realized. By constructing the blind deconvolution simulation experiment with sinusoidal signal,the method of blind deconvolution put forward is validated. The simulation result show the correctness of the method.
- 【文献出处】 电声技术 ,Audio Engineering , 编辑部邮箱 ,2009年09期
- 【分类号】TN911.72
- 【下载频次】92