| 一种基于神经网络的确知信号检测技术 |
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| 引用本文： | 方彪,程卫东.一种基于神经网络的确知信号检测技术[J].成都信息工程学院学报,2007,22(4):518-521. |
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| 作者姓名： | 方彪 程卫东 |
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| 作者单位： | 成都信息工程学院电子工程系,四川,成都,610225 |
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| 摘 要： | 建立在统计信号处理理论基础上的相关检测器和匹配滤波器取得了广泛的应用,但两种模型都是建立在对实际通信信道线性化近似基础上的,在适应信道的非线性变化方面有所不足.利用神经网络自适应、非线性和高速并行运算的特点,在此提出了一种结构简单有效的神经网络接收机,并可推广到其他确知信号.
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| 关 键 词： | 神经网络 确知信号 检测 神经网络 信号检测技术 based technique signal detection 确知信号 接收机 结构简单 并行运算 非线性 网络自适应 利用 线性变化 通信信道 线性化近似 模型 应用 匹配滤波器 相关检测器 信号处理理论 |
| 文章编号： | 1671-1742（2007）04-0518-04 |
| 收稿时间： | 2007-03-08 |
| 修稿时间： | 2007-04-12 |
A known signal detection technique based on neural-net |
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| FANG Biao,CHEN Wei-dong.A known signal detection technique based on neural-net[J].Journal of Chengdu University of Information Technology,2007,22(4):518-521. |
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| Authors: | FANG Biao CHEN Wei-dong |
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| Institution: | Dept. of Electronic Engineering, CUIT, Chengdu 610225, China |
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| Abstract: | The technique of the signal detection and estimation based on the statistical signal processing theory is applied, The representative detection model is matched filter. But all these models are built on the linearization approximation of the actual channels and insufficient in adapting to the nonlinearity change of a channel. By using the neural network with such characteristics as the adaptive nonlinearity mapping and rapidly parallel operation a simple and effective neural-net based receiver is presented. It is able to detect the binary known signal accurately. |
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| Keywords: | neural network known signal detection |
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