摘要
空时分组码能够提供分集和编码增益,但所用的ML译码算法计算量太大,不能满足高速实时通信系统的要求。为了有效地降低译码复杂度,提出了一种新的检测算法,该算法通过对系统模型进行变换,利用等效的信道响应矩阵的QR分解来进行译码,从而避免了对所有的调制信号进行穷举搜索的过程,使计算复杂度有了很大降低,而且新算法的误码率性能与ML算法近乎相同。最后,通过仿真验证了所提算法的有效性和实用性。
STBC can provide the dive^ity and coding gains. However, the conventional ML decoding algorithm has expensive computational complexity, which the need of high-velocity and real-time communication systems can not be satirical. In order to reduce effectively decoding complexity, a new detection algorithm is proposed. The new algorithm uses the QR decomposition of the equivalent channel matrix to decode via transforming the system model. An exhaustive search over the signal modulation constellation for decoding can be avoided and greatly decoding complexity are reduced, moreover, the error code ratio performance of the new algorithm is almost absolute sameness with ML decoding algorithm. Finally, the results with simulation validate the validity and practicability of the proposed algorithm.
出处
《电视技术》
北大核心
2011年第2期67-70,共4页
Video Engineering
基金
国家自然科学基金项目(60971100)
陕西省自然科学基础研究项目(SJ08F10)
