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1.
为提高多径条件下通信信号时差定位系统中时延估计的精度,提出了一种利用信号循环平稳特性改进的WRELAX多径时延估计算法,给出了算法推导过程及流程图.新算法结合了循环时延估计算法和多径时延估计算法的优点,既可分辨多径时延,又能很好地抑制噪声及强干扰.仿真结果表明,新算法在多径分辨率及估计精度方面均优于原算法.  相似文献   

2.
欠采样频率估计方法   总被引:4,自引:0,他引:4       下载免费PDF全文
鲍丹  杨绍全 《电子学报》2004,32(12):1971-1973
基于时延和旋转不变子空间技术(ESPRIT),本文提出了一种新的欠采样宽频带信号频率的高分辨估计方法.文中,欠采样所引入的频率模糊由增加的延迟通道提供的信息加以消除,并提出了相应的频率解模糊算法.为进一步降低运算量,文中给出了该频率估计方法的简易算法,增强了方法的实用性.文末推导给出频率估计的CRLB,并通过数值仿真实验验证了本文算法的有效性.  相似文献   

3.
欠采样环境下信号多频率估计   总被引:2,自引:0,他引:2  
在信号欠采样环境下,本文基于时延技术和MUSIC算法提出了一种新的信号多频率估计方法.只要合适地选取时延器的延迟时间,频率估计是无模糊的.计算机模拟实验表明此方法是可行的.  相似文献   

4.
欠采样环境下信号多频率估计   总被引:11,自引:0,他引:11  
在信号欠采样环境下,本文基于时延技术和MUSIC算法提出了一种新的信号多频率估计方法,只要合适地选取时延器的延迟时间,频率估计是无模糊的。计算机模拟实验表明此方法是可行的。  相似文献   

5.
针对传统方法不适用于欠采样条件下线性调频(LFM)信号在低信噪比(SNR)条件下带宽估计问题,提出一种基于分布式压缩感知(DCS)的带宽估计方法,利用同一信源多个脉冲的联合稀疏特性进行LFM信号带宽估计。首先构建LFM欠采样信号模型,其次利用DCS算法对LFM带宽进行联合稀疏重构,然后分析了所提LFM信号带宽估计方法性能,最后利用仿真验证了方法的可行性和有效性。  相似文献   

6.
时延估计技术在通信、雷达、声呐、定位、盲信号分离、超声波测距、生物医学工程等许多领域都有着广泛的应用,这些系统的精度与时延估计的精度息息相关。但时延精度受限于采样间隔,不可避免会引入分数倍时延。在众多分数时延估计算法中,三点插值法是一种非常简单高效的方法。针对基于三点插值的分数时延算法估计精度受限问题,提出基于五点平滑的三点插值法,提高分数时延估计精度;该方法利用相关峰及相关峰前后两点,对相关峰进行五点平滑后,再进行二次抛物线插值来估计分数时延。仿真结果表明,文章所提改进算法的分数时延估计误差优于传统三点抛物线插值法,验证了该方法的有效性。  相似文献   

7.
针对欠采样脉冲多普勒雷达信号参数估计中已有方法抗噪性差、顺序参数估计方法中后续参数估计受前面参数估计精度影响严重等问题,该文提出一种基于有限新息率(Finite Rate of Innovation,FRI)采样的频域时延-多普勒2维聚焦(FD2TF)算法.在该算法中,利用FRI采样结构能够以低于奈奎斯特采样频率的速率获得信号的一系列傅里叶系数,通过频域2维聚焦过程能够同时估计时延和多普勒参数,避免了参数顺序估计中误差累积的问题,理论分析证明了该算法能够大幅提升采样信号的信噪比,提高算法抗噪性和鲁棒性.在2维聚焦算法的基础上该文还提出了基于逆傅里叶变换的2维聚焦简化算法,在提高参数估计网格密度的同时,大大减低了2维聚焦算法的计算量.仿真和对比实验结果证明了该方法的有效性和良好的抗噪性.  相似文献   

8.
在时延估计算法中,相关法是一种经典的算法。时域互相关法可用来进行整数倍和非整数倍采样周期的时延估计,即使是在极低的信噪比(SNR)条件下,利用较多的数据也能获得准确和稳定的估计结果。为提高时延估计分辨率,给出了一种采用sinc函数对信号进行非整数倍采样周期延时的相关估计算法,通过仿真比较了未插值、两倍插值法和sinc函数延时法的估计精度和计算量,证明sinc函数延时法性能最优。基于现场可编程逻辑门阵列(FPGA)实现的改进型互相关时延估计器能够实现在低信噪比下时延差的准确估计。  相似文献   

9.
针对欠采样脉冲多普勒雷达信号参数估计中已有方法抗噪性差、顺序参数估计方法中后续参数估计受前面参数估计精度影响严重等问题,该文提出一种基于有限新息率(Finite Rate of Innovation, FRI)采样的频域时延-多普勒2维聚焦(FD2TF)算法。在该算法中,利用FRI采样结构能够以低于奈奎斯特采样频率的速率获得信号的一系列傅里叶系数,通过频域2维聚焦过程能够同时估计时延和多普勒参数,避免了参数顺序估计中误差累积的问题,理论分析证明了该算法能够大幅提升采样信号的信噪比,提高算法抗噪性和鲁棒性。在2维聚焦算法的基础上该文还提出了基于逆傅里叶变换的2维聚焦简化算法,在提高参数估计网格密度的同时,大大减低了2维聚焦算法的计算量。仿真和对比实验结果证明了该方法的有效性和良好的抗噪性。  相似文献   

10.
针对无源时延定位技术中时延的估算受系统采样率影响较大的问题,提出一种基于亚采样点的时延估计算法,在采样点最小单位的基础上,利用2个基准监测站信号点的几何特征计算时延。在Matlab仿真程序中,模拟1个信号辐射源和2个基准监测站,以2个监测站信号及其瞬时相位作为算法输入部分,对比二者时延估计的精度,证明算法的有效性。试验结果表明,基于亚采样点的时延估计算法计算精度与信号点数及采样周期有关,且在相同采样率下,该算法估计的时延精度高于采样点级别的时延估计方法。  相似文献   

11.

As the problem of array mixing model of wideband signals cannot be solved by conventional blind source separation algorithms, an improved algorithm based on beamforming is proposed in this paper. First, the received signals are transformed into time–frequency domain, and the delays of source signals are estimated. Then, the received signals are compensated with the estimated delay in frequency domain. Finally, the desired signal is acquired by using Frost wideband beamforming algorithm. Due to adopting the new methods of single source point extraction and delay estimation, the complexity of the proposed algorithm is reduced. Pre-steering delay is used in frequency domain to eliminate the compensation error when the delay is not an integer multiple of the sampling interval, which improves the separation performance significantly. The simulation results show that the proposed algorithm can adequately solve the problem of delay mismatch and achieve wideband blind source separation effectively. The existing algorithms are mostly fail for frequency hopping signals when there are numerous overlapping time–frequency points. In this case, the proposed algorithm still has good separation performance.

  相似文献   

12.
Super-Resolution Time Delay Estimation in Multipath Environments   总被引:1,自引:0,他引:1  
The super-resolution time delay estimation in multipath environment is very important for many applications. Conventional super-resolution approaches can only deal with signals with wideband and flat spectra. In this paper, we propose a novel super-resolution time delay estimation method that can treat signals with narrowband spectra. In our method, the time delay estimation is first transformed into the frequency domain, in which the problem is converted into the parameter estimation of sinusoidal signals with lowpass envelopes. Then a MUSIC-type algorithm taking account of the envelope variation is applied to achieve the super-resolution estimation. Time delay estimation in active and passive systems are considered. Simulation results confirm that the proposed estimators provide better performance than the classical correlation approach and the conventional MUSIC algorithm for separating closely spaced signals with narrowband spectra.  相似文献   

13.
This paper presents a robust time delay estimation algorithm for the α-stable noise based on correntropy. Many time delay estimation algorithms derived for impulsive stable noise are based on the theory of Fractional Lower Order Statistics (FLOS). Unlike previously introduced FLOS-type algorithms, the new algorithm is proposed to estimate the time delay by maximizing the generalized correlation function of two observed signals needing neither prior information nor estimation of the numerical value of the stable noise’s characteristic exponent. An interval for kernel selection is found for a wide range of characteristic exponent values of α-stable distribution. Simulations show the proposed algorithm offers superior performance over the existing covariation time delay estimation, least mean p-norm time delay estimation and achieves slightly improved performance than fractional lower order covariance time delay estimation at lower signal to noise ratio when the noise is highly impulsive  相似文献   

14.
A new time delay estimator based on ETDE   总被引:10,自引:0,他引:10  
In this paper, we address the problem of online subsample time delay estimation of narrowband signals of known center frequency. We propose a new so-called mixed modulated Lagrange explicit time delay estimation (MMLETDE) algorithm and study its performance through computer simulations. The MMLETDE is a modulated Lagrange ETDE, but the delay estimate adaptation process is based on the truncated sinc fractional delay filter algorithm. We provide theoretical derivations for our proposed estimator, a proof of its convergence performance, learning characteristics of its error performance surface, and an expression for its delay variance. Using simulations, we show that MMLETDE requires only a small filter order and has no noticeable estimation bias over a wide frequency range.  相似文献   

15.
李昕 《电子学报》2014,42(6):1068-1073
针对脉冲Chirp类信号的时延估计问题,理论推导了基于离散分数阶Fourier变换的脉冲Chirp信号的特性,分析了当时延参量等效的分数阶Fourier域的频率大于采样率时,脉冲Chirp信号的分数阶Fourier域谱产生混叠,造成时延估计模糊的问题,并提出基于离散分数阶Fourier变换(DFRFT)双通道互谱法进行时延估计,给出两个通道采样率选取的原则及算法的性能分析,实验结果表明,在一定的采样率下,算法能够快速精确地估计脉冲Chirp信号的时延参数.  相似文献   

16.
语音分组传输系统的出现,对回波抵消技术提出了新的挑战。在回波抵消中一个关键的问题是需要快速有效地估计延迟时间。基于直接计算输入信号互相关函数的延迟估计方法,在实际应用中回波消除性能差,运算量大。为此提出了基于混合模型的延时估计方法,对输入信号进行带通滤波和降低抽样率抽样,使其具有白噪声特性,然后快速计算互相关函数的估计值。理论分析和实验结果证明新的延迟估计方法有很好的回波消除性能和较少的运算量,在实际通信系统中有较好的应用前景。  相似文献   

17.
A blind parameter estimation algorithm for frequency-hopping signals based on compressed sensing was proposed,in order to solve the problem that the existing parameter estimation algorithms did not take into account the sparse structural characteristics of the signals in frequency domain.Firstly,the maximum cosine method was used to process the segmented compressed sampling signals,and the hopping frequency was estimated.Then,the atom matching algorithm was used to process the signal with the hopping point,and the frequency hopping instance time was estimated accurately.Then the hopping speed and hopping time were estimated.The experimental results show that the algorithm can significantly reduce the sampling data and computational complexity,while improving estimation accuracy.  相似文献   

18.
Jie-Cherng Liu   《Signal processing》2010,90(2):504-512
The kernel concept of the software defined radio architecture is to eliminate the analogue mixers and to place analogue-to-digital converters as near the antenna as possible. Bandpass sampling can be used for direct downconversion without analogue mixers. In this paper, we report an efficient method to find the ranges of valid bandpass sampling frequency for direct downconverting multiple bandpass analytic signals (single-sideband RF signals). The algorithm results in the ranges of valid bandpass sampling frequency for the complex signals in terms of bandwidths and band positions of the single-sideband RF signals. Compared to real bandpass sampling, the valid sampling frequency ranges are easier to find and the ranges thus obtained having much wider interval than those of real sampling. As a consequence, the complex sampling scheme is more flexible in choosing sampling frequency and more robust to the sampling frequency variation. Furthermore, if spectral inversion is not permitted, then in some cases there will have no applicable sampling frequency under Nyquist rate for real sampling.  相似文献   

19.
该文提出了一种从单个阵元接收数据中估计未知波形信号多径回波时延的新方法.该方法通过建立单阵元接收数据的频域信号模型,分析得出了利用该模型估计多径时延与利用阵列估计来波方向问题的相似性.进而,估计来波方向的ESPRIT算法被改造用于估计多径时延.文中还对通过信号模型估值存在的模糊问题进行了分析,并提出了解决办法.仿真实验结果证明了新方法的有效性.  相似文献   

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