| 摘要: |
| 针对广义空间调制（GSM）系统接收端最大似然（ML）检测算法计算复杂度极高的缺点，提出了一种基于压缩感知（CS）信号重构理论的低复杂度信号检测算法。首先，在多输入多输出（MIMO）信道模型下，通过改进正交匹配追踪（OMP）算法，得到一个激活天线索引备选集；然后，利用ML算法在该备选集中进行遍历搜索，检测出激活天线索引和星座调制符号。仿真结果表明所提算法的检测性能接近于ML算法，且复杂度约为ML算法的2%。因此，所提算法在保证检测性能的同时也大大降低了计算复杂度，实现了检测性能与复杂度之间的平衡。 |
| 关键词: 广义空间调制 多输入多输出 压缩感知 最大似然 正交匹配追踪 |
| DOI： |
|
| 基金项目:国家科技重大专项（2012ZX03001024） |
|
| A low complexity detection algorithm for generalized spatial modulation systems |
| LI Xiaowen,FENG Yongshuai,ZHANG Dingquan |
| () |
| Abstract: |
| To overcome the disadvantage of high computational complexity of maximum likelihood(ML) detection algorithm for the generalized spatial modulation(GSM) system，a low complexity signal detection algorithm based on compressed sensing(CS) signal reconstruction theory is inverstigated.Firstly,under the channel model of multiple-input multiple-output(MIMO),through improving orthogonal matching pursuit(OMP) algorithm,a candidate set of active antenna index is obtained.Then the ML detection algorithm is used to perform traversal search in the candidate set to obtain the active antenna index and the constellation modulation symbols.Simulation results show that the detection performance of the proposed algorithm is similar to that of ML detection algorithm and its computational complexity is about 2% of that of ML. Therefore,the proposed algorithm reduces the computational complexity while ensuring the detection performance,which achieves the favourable performance-complexity trade-off. |
| Key words: generalized spatial modulation multiple-input multiple-output compressed sensing maximum likelihood orthogonal matching pursuit |
《电讯技术》编辑部 