Ordinary Differential Equation-Based MIMO Signal Detection

IF 4.6 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Signal Processing Pub Date : 2024-09-05 DOI:10.1109/TSP.2024.3454703

Ayano Nakai-Kasai;Tadashi Wadayama

引用次数: 0

Abstract

The required signal processing rate in future wireless communication systems exceeds the performance of the latest electronics-based processors. Introduction of analog optical computation is one promising direction for energy-efficient processing. This paper considers a continuous-time minimum mean squared error detection for multiple-input multiple-output systems to realize signal detection using analog optical devices. The proposed method is formulated by an ordinary differential equation (ODE) and its performance at any continuous time can be theoretically analyzed. Deriving and analyzing the continuous-time system is a meaningful step to verifying the feasibility of analog-domain signal processing in the future systems. In addition, considering such an ODE brings byproducts to discrete-time detection algorithms, which can be a novel methodology of algorithm construction and analysis.

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基于常微分方程的多输入多输出信号检测

未来无线通信系统所需的信号处理速度超过了最新电子处理器的性能。引入模拟光计算是节能处理的一个有前途的方向。本文考虑了多输入多输出系统的连续时间最小均方误差检测，利用模拟光学设备实现信号检测。所提出的方法由一个常微分方程（ODE）构成，可以从理论上分析其在任何连续时间的性能。推导和分析连续时间系统是验证未来系统中模拟域信号处理可行性的重要一步。此外，考虑这种 ODE 还会给离散时间检测算法带来副产品，从而成为一种新的算法构建和分析方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Signal Processing 工程技术-工程：电子与电气

CiteScore

11.20

自引率

9.30%

发文量

310

审稿时长

3.0 months

期刊介绍： The IEEE Transactions on Signal Processing covers novel theory, algorithms, performance analyses and applications of techniques for the processing, understanding, learning, retrieval, mining, and extraction of information from signals. The term “signal” includes, among others, audio, video, speech, image, communication, geophysical, sonar, radar, medical and musical signals. Examples of topics of interest include, but are not limited to, information processing and the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals.