GPS窄带干扰的压缩感知多级原子库估计
发布时间：2018-12-19 20:17
【摘要】：全球定位系统(GPS)窄带干扰抑制常用的方法是用频域变换估计干扰频带,然后用频率内插或外推滤波削弱干扰信号的影响。为缓解在干扰频带探测阶段较高的信号采样率和频域变换所带来的高计算量的压力,提出了一种新的利用多层级原子库进行窄带干扰频带估计的方法。分别研究了多种GPS窄带干扰在傅里叶基、原子库稀疏表示基下用压缩感知重构进行干扰频率估计的方法。用Monte Carlo仿真分析了不同的信噪比、搜索步长和测量值数目条件对压缩感知构造过完备原子库方法进行窄带信号频带估计效果的影响,验证了文中提出方法的有效性。理论分析表明:所提方法与传统频域变换方法相比,具有能够极大减少测量值与计算量的优点。
[Abstract]:The common method of (GPS) narrowband interference suppression in GPS is to estimate the interference frequency band by frequency domain transform, and then use frequency interpolation or extrapolation filter to weaken the influence of interference signal. In order to reduce the pressure of high sampling rate and high computational complexity brought by the high frequency domain transformation in the phase of interference band detection, a new method for narrowband interference band estimation using multi-level atomic banks is proposed. In this paper, the interference frequency estimation methods of GPS narrowband interference based on Fourier basis and atomic library sparse representation basis are studied using compressed sensing reconstruction. The effects of different signal-to-noise ratio (SNR), search step size and the number of measured values on the narrow-band signal band estimation of compressed sensing over complete atomic banks are analyzed by Monte Carlo simulation, and the effectiveness of the proposed method is verified. The theoretical analysis shows that compared with the traditional frequency domain transform method, the proposed method has the advantages of greatly reducing the measurement value and computational complexity.
【作者单位】： 北京信息科技大学信息与通信工程学院;
【基金】：国家自然科学基金资助项目(61302073;61471021)~~
【分类号】：P228.4
[Abstract]:The common method of (GPS) narrowband interference suppression in GPS is to estimate the interference frequency band by frequency domain transform, and then use frequency interpolation or extrapolation filter to weaken the influence of interference signal. In order to reduce the pressure of high sampling rate and high computational complexity brought by the high frequency domain transformation in the phase of interference band detection, a new method for narrowband interference band estimation using multi-level atomic banks is proposed. In this paper, the interference frequency estimation methods of GPS narrowband interference based on Fourier basis and atomic library sparse representation basis are studied using compressed sensing reconstruction. The effects of different signal-to-noise ratio (SNR), search step size and the number of measured values on the narrow-band signal band estimation of compressed sensing over complete atomic banks are analyzed by Monte Carlo simulation, and the effectiveness of the proposed method is verified. The theoretical analysis shows that compared with the traditional frequency domain transform method, the proposed method has the advantages of greatly reducing the measurement value and computational complexity.
【作者单位】： 北京信息科技大学信息与通信工程学院;
【基金】：国家自然科学基金资助项目(61302073;61471021)~~
【分类号】：P228.4
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