项目名称: 频率估计的低阶变频域估计法及其在VCO线性度校正中的应用
项目编号: No.60871098
项目类型: 面上项目
立项/批准年度: 2009
项目学科: 电工技术
项目作者: 涂亚庆
作者单位: 中国人民解放军后勤工程学院
项目金额: 31万元
中文摘要: 针对被测频率持续时间短、邻近频率信号干扰严重、信噪比较低等条件下的正弦信号频率估计的急需,而现有的通过多次采样获得信号的融合方法,在抗噪性、普适性、实时性、处理多段不同频信号和抑制邻近频率信号能力方面均存在不足的现状,本项目提出低阶变频域估计法,包括同频等长融合算法、降频和分频等长融合算法、降频和分频等长融合快速算法和低阶变频域分解结构。在融合算法的研究中,采用低阶变频域分析参数矩阵、相位差补偿因子矩阵、搜索频率序列等措施以实现同频化、克服相位不连续等。在低阶变频域分解结构研究中,基于时域辅助信息构建测试模板,以提高频率估计精度且计算量小。鉴于压控振荡器(VCO)调频线性度校正课题具有广泛工程背景、较高研究难度和典型示例作用,将低阶变频域估计法应用于此并进行现场验证。项目研究的目的是提高被测频率持续时间短等条件下的正弦信号频率估计精度,解决当前通信、雷达等领域中有关频率估计的关键技术问题。
中文关键词: 频率估计;信息融合;变频域估计;多段正弦信号;线性度校正
英文摘要: Sinusoid frequency estimation under condition of short duration of measured frequency, strong interfering signals at nearby frequency, low SNR and so on is needed. While existing fusion methods for the signal sampled several times are deficient in noise immunity, universality, real-time performance, process for multi-section signal with different frequencies and rejecting signals at nearby frequencies. While existing fusion methods for the signal sampled several times are deficient in noise immunity, universality, real-time performance and those methods are. So low-order frequency-difference-domain estimation method is proposed in the work,including cofrequency equilong fusion algorithm, frequency-shift and dividing frequency equilong fusion algorithm, frequency-shift and dividing frequency equilong fusion fast algorithm and low-order frequency-difference-domain decomposition texture. In fusion algorithms, low-order frequency-difference-domain analysis parameter matrix, phase-difference compensating factor matrix, search frequency series and so on will be adopted to realize frequency normalization and overcome phase discontinuity and so on. In low-order frequency-difference-domain decomposition texture,test templates will be set up based on additional information in time domain to increase frequency estimation precision with small calculated amount. In view of abroad project background, high difficulty and typical illustration effect of VCO FM nonlinearity correction problem, low-order frequency-difference-domain estimation method will be applied to it and field demonstration will be carried out. It is our goal to increase sinusoid frequency estimation precision under condition of short duration of measured frequency and so on, and to solve critical technology problems about frequency estimation in the fields of communication, radar and so on.
英文关键词: frequency estimation;information fusion; frequency-difference-domain; estimation;multi-section; sinusoid signal; nonlinearity correction