且在每层搜索中削减噪声因子的影响。通过缩减搜索球半径、缩小搜索范围实现算法复杂度的降低。仿真结果显示:在信噪比低于10 d B时
改进算法比传统球译码检测算法计算复杂度平均降低18%左右
同时误码性能损失较小。
Abstract
Search radius of sphere decoding detection algorithm affects complexity of algorithm
an improved algorithm is proposed. The improved algorithm multiplies a constant compression factor on the search radius of the sphere decoding detection algorithm
and influence of noise factor is reduced in each layer. The complexity of the algorithm is reduced by cutting search radius of sphere and narrowing search range. Simulations results show that the new algorithm can effectively reduce calculation complexity by 18 % compared with the traditional sphere decoding detecting algorithm when signal to noise ratio( SNR) is less than 10 d B and cause the performance loss of bit error rate is small.