An Annealed Neural Networks for Parameter Estimation of Incoherent Superimposed Sinusoidal Signal

Yang Zongkai

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An Annealed Neural Networks for Parameter Estimation of Incoherent Superimposed Sinusoidal Signal

更新时间：2025-12-08

- An Annealed Neural Networks for Parameter Estimation of Incoherent Superimposed Sinusoidal Signal
- Acta Electronica Sinica Issue 1, Pages: 15-23(1993)
- 作者机构：
  
  1.   华中理工大学电子与信息工程系
  2.   西安交通大学通控系
  3.   西安交通大学通控系武汉 430074
  4.   西安 710049
- 作者简介：
- 基金信息：
- DOI：
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- Published：1993
- 稿件说明：
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[1]杨宗凯,殷勤业,邹理和.用退火型神经网络估计多个非相干源的迭加正弦信号参量[J].电子学报,1993(01):15-23+14.

Yang Zongkai. An Annealed Neural Networks for Parameter Estimation of Incoherent Superimposed Sinusoidal Signal[J]. Acta Electronica Sinica, 1993, (1): 15-23.
[1]杨宗凯,殷勤业,邹理和.用退火型神经网络估计多个非相干源的迭加正弦信号参量[J].电子学报,1993(01):15-23+14. DOI：

Yang Zongkai. An Annealed Neural Networks for Parameter Estimation of Incoherent Superimposed Sinusoidal Signal[J]. Acta Electronica Sinica, 1993, (1): 15-23. DOI：

摘要

基于模拟退火方法和线性规划神经网络

本文提出了一种新的参数估计方法——退火型神经网络计算方法

并将其应用于进行叠加正弦信号参量的估计

通过构造相应的模拟电路系统

该方法可获得估计问题的实时解。模拟实验结果显示了该神经网络方法进行平面波到达方向估计与跟踪的优良性能。

Abstract

Based on simulated annealing technique and linear programming neural network

an annealed linear programming neural network which performs the estimation of parameters of incoherent superimposed sinusoidal signals is proposed in this paper. It may obtain a real time solution by setting up an associated analogue and digital mixed circuit. Simulation results are given to illustrate the excellent performance of the neural networks for estimating and tracking the direction of arrival of plane waves.

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