The application of Compressive Sampling Matching Pursuit in Underwater Acoustic MIMO-OFDM Communication System Channel Estimation
-
摘要: 针对水声MIMO-OFDM系统，利用水声多径信道冲激响应的稀疏特性，提出一种基于压缩采样匹配追踪 (Compressive Sampling Matching Pursuit, CoSaMP)的信道估计方法。该算法首先利用观测矩阵构建一个向量代替信道，然后采用匹配追踪思想确定这个向量的非零抽头系数位置，最后利用最小二乘法对非零抽头系数进行估计，通过对该向量的估计实现信道响应的估计。与传统最小二乘法（least square, LS）相比，信道估计性能得到很大的提高，与正交匹配追踪（Orthogonal Matching Pursuit，OMP)相比，提高信道估计性能的同时，降低了计算复杂度。通过仿真分析，不但验证了该算法的有效性，还比较了该算法在不同通信系统中的信道估计性能。
-
关键词:
- 水声MIMO-OFDM /
- 压缩感知 /
- 信道估计 /
- CoSaMP
Abstract: an algorithm of channel estimation was proposed based on compressive sampling matching pursuit (CoSaMP) for multiple input multiple output-orthogonal frequency division multiplex (MIMO-OFDM) communication system, by exploiting the sparse characteristic of underwater acoustic channel. Firstly, the measurement matrix was used to establish a proxy for the channel, then matching pursuit idea was used to detect the position of the nonzero tap coefficients; finally, the least square algorithm was utilized to estimate the exact value of the nonzero coefficients. The channel estimation was finished through the estimation of the proxy. Comparing with conventional least square (LS) estimation algorithm, the channel estimation was greatly improved. Moreover, the algorithm outperforms Orthogonal Matching Pursuit (OMP) algorithms in computational complexity and estimate accuracy. The result of simulation has analyzed the performance and compared the channel estimation performance in different communication systems.-
Keywords:
- MIMO-OFDM /
- Compressive Sensing /
- channel estimation /
- CoSaMP
-
计量
- 文章访问数: 466
- HTML全文浏览量: 1
- PDF下载量: 1286
下载:
