共查询到18条相似文献,搜索用时 218 毫秒
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提出了一种基于多尺度线调频基信号稀疏分解的多分量多项式相位信号分离和瞬时频率估计方法.该方法采用多尺度的线调频基函数对多分量多项式相位信号进行投影分解,通过从不同的时间支撑区内投影系数最大的基函数中寻找出使分解信号能量最大的基元函数组合,逐次获得信号包含的能量最大的多项式相位信号分量,从而实现多分量多项式相位信号的分离,而从基元函数连接形成的频率曲线则可获得多项式相位信号分量瞬时频率的估计.仿真信号分析表明,本文方法能在信噪比较低情况下有效分离多分量多项式相位信号中包含的多项式相位信号分量,准确地估计其瞬时频率. 相似文献
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一种新的LFM信号参数估计算法 总被引:2,自引:1,他引:1
针对线性调频信号的参数估计问题,提出了一种新的算法.该算法利用计算信号的二次相位函数,得到其能量分布集中于信号的调频率曲线上的结论,因此通过谱峰检测可以获得信号的调频率估计,进而通过解调频技术得到初始频率的估计.分析了该算法的统计特性,计算机仿真结果表明算法计算量小,性能优良,在信噪比较高时,估计精度可接近CRLB界. 相似文献
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基于多尺度线性调频基信号稀疏分解的多分量LFM信号检测 总被引:3,自引:0,他引:3
该文针对传统的基于二次时频分析和原子追踪匹配方法处理多分量LFM信号时存在的时频干扰和等振幅交叉分解等问题,提出了一种基于多尺度线性调频基信号稀疏分解的多分量LFM信号检测方法,该方法采用多尺度的线调频基函数对多分量LFM信号进行投影分解,通过从不同的时间支撑区内投影系数最大的基函数中寻找出使分解信号能量最大的基元函数组合,逐次获得信号包含的能量最大的LFM信号分量,从基元函数连接形成的频率曲线即可获得LFM信号分量瞬时频率的估计,再对分量瞬时频率求起始时间点的频率值和曲线斜率便可得到该LFM分量的中心频率及调频斜率,仿真试验表明该文方法能精确地提取等振幅多分量LFM信号的瞬时频率,并具有很强的抗噪声干扰能力。 相似文献
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微动特征提取是群目标分辨的有效手段,以往针对孤立目标的特征提取技术不再适用。针对此该文提出了一种基于信号分解的微动群目标特征提取方法。首先通过分析微动信号的正弦调频(SFM)形式,推导了SFM信号相位项在k-分辨率贝塞尔函数基上的分解结果;然后根据回波分解结果中微动频率与函数基的一一对应关系进行频率粗略估计,并针对误差产生原因给出了精确的微动频率估计方法;最后在离散信号相位解模糊的基础上,完成各子目标的微动频率提取。仿真实验验证了算法的有效性,且与正弦调频傅里叶变换(SFMFT)算法和平均幅度差函数(AMDF)算法相比具有更高精度。 相似文献
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在ISAR成像中,由非均匀转动引起的相位误差与散射点的径向位置有关,传统的相位聚焦方法难以采用统一的相位校正函数来进行补偿。针对此问题,提出一种基于自适应Gaussian包络Chirplet分解(AGCD)快速算法的相位补偿方法。该方法在任意选取的距离单元上,利用Gaussian包络Chirplet分解得到两个较强散射点所对应的线性调频信号参数,并结合多特显点处理(PPP)模型,对由平动和非均匀转动造成的相位误差分别进行补偿。该方法计算量小,估计精度高,且没有孤立强散射点的要求。仿真实验结果表明了它的有效性。 相似文献
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An adaptive approach to the estimation of the instantaneous frequency (IF) of nonstationary mono- and multicomponent FM signals with additive Gaussian noise is presented. The IF estimation is based on the fact that quadratic time-frequency distributions (TFDs) have maxima around the IF law of the signal. It is shown that the bias and variance of the IF estimate are functions of the lag window length. If there is a bias-variance tradeoff, then the optimal window length for this tradeoff depends on the unknown IF law. Hence, an adaptive algorithm with a time-varying and data-driven window length is needed. The adaptive algorithm can utilize any quadratic TFD that satisfies the following three conditions: First, the IF estimation variance given by the chosen distribution should be a continuously decreasing function of the window length, whereas the bias should be continuously increasing so that the algorithm will converge at the optimal window length for the bias-variance tradeoff, second, the time-lag kernel filter of the chosen distribution should not perform narrowband filtering in the lag direction in order to not interfere with the adaptive window in that direction; third, the distribution should perform effective cross-terms reduction while keeping high resolution in order to be efficient for multicomponent signals. A quadratic distribution with high resolution, effective cross-terms reduction and no lag filtering is proposed. The algorithm estimates multiple IF laws by using a tracking algorithm for the signal components and utilizing the property that the proposed distribution enables nonparametric component amplitude estimation. An extension of the proposed TFD consisting of the use of time-only kernels for adaptive IF estimation is also proposed 相似文献
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This paper details an algorithm for estimating the parameters of cubic phase signals embedded in additive white Gaussian noise. The new algorithm is an extension of the cubic phase (CP) function algorithm, with the extension enabling performance at lower signal-to-noise ratios (SNRs). This improvement in the SNR performance is achieved by coherently integrating the CP function over a compact interval in the two-dimensional CP function space. The computation of the new algorithm is quite moderate, especially when compared to the maximum-likelihood (ML) technique. Above threshold, the algorithm's parameter estimates are asymptotically efficient. A threshold analysis of the algorithm is presented and is supported by simulation results. A method for extending the capability of this algorithm to process higher degree phase signals is also presented. Furthermore, the algorithm is applied to a real data signal. 相似文献
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基于FFT和FQPT算法,本文提出一种快速、高效的适用于脉冲噪声环境的修正DCFT算法。该算法较精确地估计线性调频信号的调制斜率和初始频率,且运算量较原DCFT算法有较大幅度降低。计算机仿真表明了算法的有效性。 相似文献
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为提高符号间干扰(ISI)信道条件下信号接收的可靠性,该文研究单载波通信系统的多天线空间分集接收问题,提出一种迭代频域合成均衡算法。该算法推导先验信息条件下合成均衡器的频域传输函数,并借助快速傅里叶变换(FFT)实现合成均衡器系数和均衡滤波的高效计算。仿真结果表明,相比时域算法,该算法能够在不损失性能的前提下,大幅降低运算复杂度。与单载波频域均衡(SC-FDE)算法相比,该算法不需要在数据传输的结构中插入循环前缀(CP),提高频谱利用率,能够直接应用于现有单载波通信系统。 相似文献
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为了克服传统的OFDM信号参数估计方法在短循环前缀条件需要大量OFDM符号、估计性能较低、抗多径衰落能力差等缺点,本文提出了一种新的短循环前缀OFDM信号参数估计方法。该算法利用OFDM信号模型推导出接收端的傅里叶逆变换模型函数,然后在此基础上根据OFDM信号的先验概率密度构造一种多参数融合的极大似然函数,并从理论上说明了可以通过检测似然函数的最小值实现OFDM信号循环前缀长度和有效符号长度的联合估计。同时,本文还利用动态粒子群优化算法(DPSO)降低了搜索复杂度,缩短了估计时间。仿真实验展示本文算法在不同环境下对OFDM信号参数估计的鲁棒性,表明本文算法的识别性能优于传统方法。 相似文献
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ABSTRACTDetection and localisation of contacts using sensor array play a significant role in the area of array signal processing. In this paper, a new beam-forming analysis for broad-banded quadratic frequency modulated (QFM) signals using generalised time–frequency transform (GTFT) is presented by extending the conventional fractional Fourier transform (FrFT). As FrFT is constrained to the analysis of linear chirps, detection using GTFT is found to be the appropriate selection for higher-order chirps with the suitable choice of the kernel. The parameters of the QFM signal is extracted using the polynomial chirplet transform time–frequency distribution method. Subsequently, the direction of arrival (DoA) estimation algorithms viz. conventional beam-former (CBF), minimum variance distortionless response (MVDR), multiple signal classification (MUSIC) and minimum norm (MN) are re-cast using the quadratic steering vector derived for QFM chirps and hence renamed as GTFT-CBF, GTFT-MVDR, GTFT-MUSIC and GTFT-MN, respectively. The efficacy of the algorithm is validated through various signals including practical sonar array data. It is seen from the theoretical analysis as well as simulations that GTFT-MUSIC excels other DoA (bearing) estimation techniques. The GTFT analysis on back propagated signals using sonar array aided in effective underwater channel modelling. 相似文献
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《Vehicular Technology, IEEE Transactions on》2009,58(9):4848-4859