CAJ | 학술논문

为了减少多用户检测的误码率和降低算法复杂度，在传统球形检测算法的基础上提出一种基于度量值的球形检测算法。改进算法通过最小度量获得初始半径，在确保得到非空解的情况下，结合深度优先搜索策略，使得误码率接近于最大似然检测性能。仿真结果表明，改进算法比传统算法在访问节点个数上可降低一个数量级。
위료감소다용호검측적오마솔화강저산법복잡도，재전통구형검측산법적기출상제출일충기우도량치적구형검측산법。개진산법통과최소도량획득초시반경，재학보득도비공해적정황하，결합심도우선수색책략，사득오마솔접근우최대사연검측성능。방진결과표명，개진산법비전통산법재방문절점개수상가강저일개수량급。
In order to reduce the bit error rate and lower the complexity of the multipleuser detection algorithm ,an improved spherical detection algorithm based on metric is proposed . In this algorithm ,the initial radius can be obtained by using the minimum measurement .A bit error ratio similar to the maximum likelihood detection performance can be achieved by combining with the depth-first-search algorithm under the circumstance in which the solution is non-empty .The simulation results show that improved algorithm can reduce the number of access nodes an order of magnitude compared with the traditional algorithm .