超高频射频识别读写器芯片的多噪声建模与优化方法研究

项目名称： 超高频射频识别读写器芯片的多噪声建模与优化方法研究

项目编号： No.61306034

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 无线电电子学、电信技术

项目作者： 张润曦

作者单位： 华东师范大学

项目金额： 25万元

中文摘要： 超高频射频识别读写器的灵敏度受限于读写器读取无源标签过程供给标签能量引起的载波泄漏电平及其噪声属性，这已成为当前读写器芯片性能提升的瓶颈。本申请拟以读写器收发机噪声传递规律为切入点，精确灵敏度测试平台为手段，研究多噪声源包括接收机自身AM噪声、本振PM相位噪声、发射机基带滤波器AM噪声、功放AM噪声和混频器PM-AM转换噪声等影响接收机灵敏度的物理机制，建立接收机噪声系数数学模型和系统仿真模型。研究旨在挖掘载波泄漏恶化读写器接收灵敏度问题背后的噪声本质，依据现代集成电路噪声理论、计算机处理技术，提出一种可操作性强、可靠性好的噪声建模方法。以上述研究为基础，寻求接收机噪声系数的系统结构与电路设计优化方法，设计一款灵敏度性能显著提升的读写器芯片样品，10dBm载波泄漏时灵敏度达到－90dBm。研究成果有望显著提高射频识别系统可靠性，在同等读写器发射功率与标签灵敏度时，将识别距离扩展一倍以上。

中文关键词： 超高频射频识别；载波泄漏抵消；相位噪声；灵敏度；椭圆噪声系数模型

英文摘要： Due to the backscatter communication mechanism of the reader supplying energy to passive tags, the ultra-high-frequency radio frequency identification reader integrated chip's sensitivity is limited by the amplitude of continuous carrier leakage and the correlated amplitude and phase noise performance. Using the reader transceiver noise transfer law as starting point and the precise sensitivity test platform as basis, this research is intended to research the noise contribution physics mechanisms of various modules, including the receiver itself amplitude noise, phase noise of the local oscillator, amplitude noise of the transmitter power amplifier, amplitude noise of the transmitter baseband filter, phase-amplitude conversion noise of the transmitter mixer, establish the overall reader receiver noise figure mathematical model and the SpectreRF-based system simulation model. The study aims to dig the essential noise issues behind phenomenon of carrier leakage deteriorating the reader receiver sensitivity and establishes an operable and reliable noise modeling method using modern integrated circuit noise theory and computer processing technology. The study seeks the circuit optimization methods and structure optimization methods and verifies them in a reader chip design instance with the significantly improved se

英文关键词： UHF Radio Frequency Identification；blocker rejection；phase noise；sensitivity；elliptic noise figure model