水声变换域通信技术中的MMP-DCD稀疏信道估计方法
发布时间：2018-11-18 14:28
【摘要】：针对带限的水声通信系统在干扰严重的水下环境中性能严重恶化问题,本文将变换域通信系统(TDCS)技术引入水声通信领域,利用水声信道的稀疏特性,提出了一种基于对分坐标下降(DCD)技术的多路径匹配追踪(MMP)稀疏水声信道估计方法,该方法满足约束等距限制(RIP),每次搜索出与残差向量最相关的多个可能的支撑集,而DCD技术可以解决MMP信道估计算法中矩阵求逆带来的运算量大以及数值不稳定问题,特别适用于FPGA等定点硬件平台。研究结果表明:MMP-DCD算法估计所得的水声信道均方误差、误码率性能比最小二乘法好;卷积码编码可以降低该通信系统误码率。
[Abstract]:In order to solve the problem of serious deterioration of underwater acoustic communication system with band limit, the transform domain communication system (TDCS) is introduced into the underwater acoustic communication field, and the sparse characteristic of underwater acoustic channel is utilized. In this paper, a multi-path matching tracing (MMP) sparse channel estimation method based on descending (DCD) technique is proposed. The proposed method meets the constraint of equidistant constraint (RIP),. Several possible support sets that are most relevant to the residual vector are found each time, and the DCD technique can solve the problems of large computation and numerical instability caused by matrix inversion in the MMP channel estimation algorithm, which is especially suitable for fixed-point hardware platforms such as FPGA. The results show that the mean square error of underwater acoustic channel estimated by MMP-DCD algorithm is better than that of the least square method, and the convolutional code coding can reduce the bit error rate of the communication system.
【作者单位】： 哈尔滨工程大学水声技术重点实验室;哈尔滨工程大学水声工程学院;水声对抗技术重点实验室;
【基金】：国家自然科学基金项目(50909029,61471138,61531012) 国际科技合作专项项目(2013DFR20050) 水声技术重点实验室基金项目(201420040) 国防基础科研项目(B2420132004)
【分类号】：TN929.3
[Abstract]:In order to solve the problem of serious deterioration of underwater acoustic communication system with band limit, the transform domain communication system (TDCS) is introduced into the underwater acoustic communication field, and the sparse characteristic of underwater acoustic channel is utilized. In this paper, a multi-path matching tracing (MMP) sparse channel estimation method based on descending (DCD) technique is proposed. The proposed method meets the constraint of equidistant constraint (RIP),. Several possible support sets that are most relevant to the residual vector are found each time, and the DCD technique can solve the problems of large computation and numerical instability caused by matrix inversion in the MMP channel estimation algorithm, which is especially suitable for fixed-point hardware platforms such as FPGA. The results show that the mean square error of underwater acoustic channel estimated by MMP-DCD algorithm is better than that of the least square method, and the convolutional code coding can reduce the bit error rate of the communication system.
【作者单位】： 哈尔滨工程大学水声技术重点实验室;哈尔滨工程大学水声工程学院;水声对抗技术重点实验室;
【基金】：国家自然科学基金项目(50909029,61471138,61531012) 国际科技合作专项项目(2013DFR20050) 水声技术重点实验室基金项目(201420040) 国防基础科研项目(B2420132004)
【分类号】：TN929.3
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