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Phased-Array-Based Sub-Nyquist Sampling for Joint Wideband Spectrum Sensing and Direction-of-Arrival Estimation

机译:基于相控阵的子奈奎斯特采样,用于联合宽带频谱感知和到达方向估计

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摘要

In this paper, we study the problem of joint wideband spectrum sensing and direction-of-arrival (DoA) estimation in a sub-Nyquist sampling framework. Specifically, considering a scenario where a number of uncorrelated narrow-band signals spread over a wide (say, several GHz) frequency band, our objective is to estimate the carrier frequencies and the DoAs associated with the narrow-band sources, as well as reconstruct the power spectra of these narrow-band signals. To overcome the sampling rate bottleneck for wideband spectrum sensing, we propose a new phased-array-based sub-Nyquist sampling architecture with flexible time delays, where a uniform linear array is employed and the received signal at each antenna is delayed by a flexible amount of time and then sampled by a synchronized low-rate analog-digital converter. Based on the collected sub-Nyquist samples, we calculate a set of cross-correlation matrices with different time lags, and develop a CANDECOMP/PARAFAC decomposition-based method for joint DoA, carrier frequency, and power spectrum recovery. Conditions for perfect recovery of the associated parameters and the power spectrum are analyzed. Simulation results show that our proposed method presents a clear performance advantage over existing methods, and achieves an estimation accuracy close to the associated Cramér-Rao bounds using only a small number of data samples.
机译:在本文中,我们研究了在次奈奎斯特采样框架下的联合宽带频谱感知和到达方向(DoA)估计问题。具体来说,考虑到许多不相关的窄带信号分布在一个宽频带(例如几个GHz)上的情况,我们的目标是估算与窄带源相关的载波频率和DoA,并进行重构这些窄带信号的功率谱。为了克服宽带频谱感测的采样率瓶颈,我们提出了一种新的基于相控阵且具有灵活时延的亚奈奎斯特采样架构,该架构采用统一的线性阵列,每个天线的接收信号都被灵活地延迟了时间,然后由同步低速率模数转换器采样。基于收集的子奈奎斯特样本,我们计算了一组具有不同时滞的互相关矩阵,并开发了一种基于CANDECOMP / PARAFAC分解的联合DoA,载波频率和功率谱恢复的方法。分析了完美恢复相关参数和功率谱的条件。仿真结果表明,我们提出的方法与现有方法相比具有明显的性能优势,并且仅使用少量数据样本即可达到接近相关Cramér-Rao边界的估计精度。

著录项

  • 来源
    《IEEE Transactions on Signal Processing》 |2018年第23期|6110-6123|共14页
  • 作者单位

    National Key Laboratory of Science and Technology on Communications, and the Center for Intelligent Networking and Communications, University of Electronic Science and Technology of China, Chengdu, China;

    National Key Laboratory of Science and Technology on Communications, and the Center for Intelligent Networking and Communications, University of Electronic Science and Technology of China, Chengdu, China;

    School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China;

    Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Direction-of-arrival estimation; Wideband; Tensile stress; Sensors; Estimation; Matrix decomposition; Receivers;

    机译:到达方向估计宽带拉伸应力传感器估计矩阵分解接收机;

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