| 摘要: |
| 针对OFDM稀疏信道估计需要信道稀疏度作先验条件的不足，将正则化自适应匹配追踪（RAMP
）
用于信道重建，可在信道稀疏度未知的情况下，自适应地调整候选集原子的个数，并利用正
则化过程实现支撑集的二次筛选，逐步扩大支撑集，准确地估计出信道的冲激响应。仿真结
果表明，该方法收敛速度快，估计效果好，有较好的应用价值。 |
| 关键词: 正交频分复用 信道估计；稀疏信道 正则化自适应匹配追踪 压缩感知 |
| DOI： |
|
| 基金项目: |
|
| An OFDM sparse channel estimation method based on regularized adaptive matching pursuit algorithm |
| DING Jing-xiao,WANG Ke-ren,JIN Hu,CHEN Xiao-bo |
| () |
| Abstract: |
| To solve the problem that many existing sparse channel estimation meth
ods require the sparsity of the channel impulse response as prior information,t
he regularized adaptive matching pursuit(RAMP) algorithm is used for channel rec
onstru
ction. Even if the sparsity of the channel is unknown, it can also recover the c
hannel impulse response accurately by both the adaptive process which chooses th
e candidate set automatically and the regularized process which expands the fina
l support. Simulation results show that the proposed algorithm has a good estima
tion performance and a high convergence speed and it is suitable for real applic
ation. |
| Key words: orthogonal frequency division multiplexing (OFDM) channel estimation sparse cha
nnel reg
ularized adaptive matching pursuit compressed sensing |
