| 摘要: |
| 分析了传统批处理常模算法的缺点，提出了一种新的批处理常模算法——基于共轭
梯度方向的批处理常模算法（CG-BPCMA）。新算法采用共轭梯度方向作为下降方向，推导
出共轭梯度方向的解析形式。在平坦瑞利衰落信道环境下的MIMO盲均衡系统中的仿真结果表
明，新算法有效地克服了SD-BPCMA和NT-BPCMA的缺点，不仅获得了较低的算法复杂度，而
且能快速收敛到常模代价函数的最小值点。 |
| 关键词: MIMO 盲均衡系统；批处理算法；常模算法；共轭梯度 |
| DOI： |
|
| 基金项目:南京工程学院青年基金项目 (QKJB2010009) |
|
| A modified batch processing constant modulus algorithm |
| PAN Zi-yu,FENG Guang-zeng,KONG Yuan-yuan |
| () |
| Abstract: |
| By analysing the shortages of traditional batch processing algorithm,
a new batch processing constant modulus algorithm derived by conjugate gradient
direction to minimizing the constant modulus criterion(CG-BPCMA) is presented.
The new algorithm uses conjugate gradient direction to choose the search directi
on and the analytical form of conjugate gradient direction is deduced. Simulatio
n results show that in flat Rayl
eigh fading synchronous channel environment blind equalization system,the new al
gorithm overcomes the shortcomings of SD-BPCMA and NT-BPCMA effectively, not only has lower complexity, but also can converge to the minima of the constant modulus criterion quickly. |
| Key words: MIMO blind equalization system batch processing algorithm constant modulus conjugate gradient |
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