MIMO Radar Joint Heart Rate and Respiratory Rate Estimation and Performance Bound Analysis

IF 3.2 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Peichao Wang;Qian He;Haozheng Li
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引用次数: 0

Abstract

This letter investigates the non-contact heart rate (HR) and respiratory rate (RR) joint estimation employing multiple-input multiple-output (MIMO) radar with widely separated antennas. By developing a signal model for the HR and RR estimation using the MIMO radar, where the initial phases for HR and RR, as well as the reflection coefficients, are deterministic but unknown, we propose an HR-RR joint estimator. Unlike the existing methods, the theoretical performance of the HR and RR estimation is analyzed for the first time, where the corresponding Cramer-Rao Bounds (CRBs) are derived. These bounds provide the first theoretical performance benchmark for this type of radar-based estimation and guide the system parameters design to enhance the HR and RR estimation performance, thereby avoiding the complex numerical computations involved in the joint estimator. It is shown that the proposed method outperforms traditional methods and the CRB can provide the guidance for system parameter optimization.
MIMO雷达联合心率和呼吸频率估计及性能界分析
本文研究了采用多输入多输出(MIMO)雷达的非接触式心率(HR)和呼吸速率(RR)联合估计。通过建立MIMO雷达的HR和RR估计信号模型,其中HR和RR的初始相位以及反射系数是确定但未知的,我们提出了HR-RR联合估计器。与现有方法不同,本文首次分析了HR和RR估计的理论性能,并推导了相应的Cramer-Rao边界(crb)。这些边界为这种基于雷达的估计提供了第一个理论性能基准,并指导系统参数设计以提高HR和RR估计性能,从而避免了联合估计中涉及的复杂数值计算。结果表明,该方法优于传统方法,可为系统参数优化提供指导。
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来源期刊
IEEE Signal Processing Letters
IEEE Signal Processing Letters 工程技术-工程:电子与电气
CiteScore
7.40
自引率
12.80%
发文量
339
审稿时长
2.8 months
期刊介绍: The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing. Papers published in the Letters can be presented within one year of their appearance in signal processing conferences such as ICASSP, GlobalSIP and ICIP, and also in several workshop organized by the Signal Processing Society.
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