黄翔东^{1, 2},
单宇轩^{1, 2},
王健^{2, 3,,}
1.天津大学电气自动化与信息工程学院 天津 300072
2.天津大学青岛海洋技术研究院 青岛 266200
3.天津大学微电子学院 天津 300072
基金项目:青岛海洋科学与技术国家实验室2016开放基金(QNLM2016OPR0411)，国家自然科学基金(61671012), 973计划(6133190102)

详细信息

作者简介:黄翔东：男，1979年生，博士，副教授，硕士生导师，研究方向为滤波器设计、频谱分析等
单宇轩：男，1995年生，硕士生，研究方向为频谱分析等
王健：男，1979年生，高级工程师，硕士生导师，研究方向为无线通信等

通讯作者:王健　1016204014@tju.edu.cn

中图分类号:TN 911.72

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出版历程

收稿日期:2019-05-05
修回日期:2019-10-31
网络出版日期:2019-11-11
刊出日期:2020-03-19

High-performance Co-prime Spectral Analysis Method Based on Parallelled All-phase Point-pass Filtering

Xiangdong HUANG^{1, 2},
Yuxuan SHAN^{1, 2},
Jian WANG^{2, 3,,}
1. School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
2. Qingdao Institute of Ocean Technology, Tianjin University, Qingdao 266200, China
3. School of Microelectronics, Tianjin University, Tianjin 300072, China
Funds:Qingdao National Laboratory for Marine Science and Technology 2016 Open Fund (QNLM2016OPR0411), The National Natural Science Foundation of China (61671012), 973 Program (6133190102)


摘要
摘要:为根本消除欠采样宽频谱分析中的伪峰副效应，该文提出基于并行全相位点通滤波的高性能互素谱分析方法。通过剖析经典互素谱分析的机理，指出产生伪峰效应的根源在于上、下通道的多相滤波支路之间存在多余的重叠边界频带。故借助全相位点通滤波器组来取代经典互素谱的原型滤波器，并且推导出基于并行点通滤波的互素谱分析流程。理论分析和仿真实验均表明，新的方法显著改善谱分析性能：不仅从根本上消除了伪峰产生的可能，而且相比于经典互素谱分析还大大提升了谱分辨率，从而具有较高的密集谱成分辨识性能。在软件无线电、雷达探测、无源定位、海事无线电等领域有广泛应用前景。
关键词:信号处理/
互素谱分析/
伪峰副效应/
欠采样/
点通滤波/
分辨率
Abstract:In order to completely remove the spurious-peak side effect in the undersampling based wide-band spectral analysis, this paper proposes a high-performance co-prime spectral analysis method based on paralleled all-phase point-pass filtering. On basis of a deep analysis on the mechanism of the classical co-prime spectral analysis, it is discovered that this spurious-peak side effect arises from those redudant overlapping boundary-bands related to distinct polyphase filtering branches between the up data path and the down data path. Therefore, through replacing the prototype filters in the classical co-prime spectral analysis by the all-phase point-pass filtering banks, a novel co-prime analysis dataflow is derived based on paralleled all-phase point-pass filtering. Both theoretic analysis and numerical simulation show that the proposed spectral analysis method achieves remarkable performance improvement: it can not only completely remove the spurious-peak side effect, but also obtain a much higher spectral resolution than the classical co-prime analysis, thereby possessing another merit of distinguishing dense spectral components. The proposed spectral analysis method possesses vast potentials in the software-defined radio, radar detection, passive positioning and marine wireless communication etc.
Key words:Signal processing/
Co-prime spectral analysis/
Spurious-peak side effect/
Undersampling/
Point-pass filtering/
Resolution



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