摘要
文章研究了量化线性离散码的系统模型和性能。通过对线性离散码码字矩阵每一个元素的实部和虚部进行量化,试图找到消耗较少存储资源,并具有与原码字相似比特差错率(Bit Error Rate,BER)的码字。仿真结果表明:这样的码字可以通过对原线性离散码进行量化处理得到。
This paper first introduces a system model of Linear Dispersion Codes and then studies Quantized Linear Dispersion Codes. Through quantizing the real part and image part of each element in the code matrices, the paper tries to find approximate codes that consume little memory resources and have almost the same Bit Error Rate（BER） performance as the original codes. Simulation results show that such approximate codes can be generated through properly quantizing the original LDC codes .
出处
《通信技术》
2009年第1期1-2,5,共3页
Communications Technology
基金
国家自然科学基金资助课题(60572066)
关键词
多输入多输出
线性离散码
量化
multiple input and multiple output
linear dispersion codes
quantization
