CAJ | 학술논문

针对K-best检测算法易将最优路径舍去的特点和K-best检测算法搜索星座图中所有点的特点,提出一种性能改进型K-best检测算法和几种降低复杂度K-best检测算法.性能改进型K-best检测算法在进行QR分解之前对信道矩阵进行最小均方误差(MMSE)滤波,能有效减小最优路径被舍弃的概率,提高算法性能;降低复杂度K-best检测算法采用类似球形译码检测的方法减少搜索星座图中点的个数.仿真结果显示,性能改进型K-best检测算法比基于排序QR分解(SQRD)的K-best检测算法有1dB的性能增益.降低复杂度K-best检测算法在K=4时有性能损失;当K=8时,降低复杂度K-best检测算法和原K-best检测算法有同样的性能,同时前者比后者需要更少的计算量.
침대K-best검측산법역장최우로경사거적특점화K-best검측산법수색성좌도중소유점적특점,제출일충성능개진형K-best검측산법화궤충강저복잡도K-best검측산법.성능개진형K-best검측산법재진행QR분해지전대신도구진진행최소균방오차(MMSE)려파,능유효감소최우로경피사기적개솔,제고산법성능;강저복잡도K-best검측산법채용유사구형역마검측적방법감소수색성좌도중점적개수.방진결과현시,성능개진형K-best검측산법비기우배서QR분해(SQRD)적K-best검측산법유1dB적성능증익.강저복잡도K-best검측산법재K=4시유성능손실;당K=8시,강저복잡도K-best검측산법화원K-best검측산법유동양적성능,동시전자비후자수요경소적계산량.
Aiming at the optimum path excluding characteristies and the fuIl constellation searching characteristics of the K-best detection algorithm,an improved-performance K-best detection algorithm and several reduced-complexity K-best detection algorithms are proposed.The improved-performance K-best detection algorithm deploys minimum mean square emor (MMSE)filtering of a channel matrix before QR decomposition.This algorithm can decrease the probability of excluding the optimum path and achieve better performance.The reduced-complexity K-best detection algorithms utilize a sphere decoding method to reduce searching constellation points.Simulation results show that the improved performance K-best detection algorithm obtains a 1 dB performance gain compared to the K-best detection algorithm based on sorted QR deconaposition (SQRD).Performance loss Occurs when K=4 in reduced complexity K-best detection algorithms.When K=8,the reduced complexity K-best detection algorithms require less computational effort compared with traditional K-best detection algorithms and achieve the same performance.