Clutter and Range Ambiguity Suppression Using Diverse Pulse Train in Pulse Doppler System.

Jiacen Xu, Lixiang Ren, Huayu Fan, Erke Mao, Quanhua Liu

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Jiacen XuSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China. jiacenxu@126.com.

Lixiang RenSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China. lixiangr@bit.edu.cn.

Huayu FanDepartment of Electronic Engineering, Tsinghua University, Beijing 100084, China. fan_huayu@sina.com.

Erke MaoSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China. maoerke@bit.edu.cn.

Quanhua LiuSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China. liuquanhua@bit.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulse Doppler (PD) systems are widely used for moving target detection, especially in scenarios with clutter. Range ambiguity, which arises from fixed parameters in waveforms, is an inherent drawback in conventional systems. By using a diverse pulse train such as a train of coherent diverse phase coded pulses, these ambiguous peaks can be suppressed effectively but at the cost of sidelobe dispersions. In this work, a novel efficient PD process is proposed to suppress range ambiguity and detect moving targets under strong clutter. Poly-phase coded pulses are employed along with optimal receiving filters, by which the dispersed sidelobes are mitigated to a great extent. Moreover, a novel clutter suppression procedure is included in the PD process, by which strong clutter can be greatly suppressed. Well-designed receiving and inverse filters are employed. Simulation examples are presented to verify the theories. Compared with conventional methods, much better detection results are obtained for both near and remote targets, especially in scenarios with strong clutter.

Indexed as

ambiguity suppressionclutter suppressioninverse filteroptimal filterPD process

Identifiers

PMID30021950

DOI10.3390/s18072326

PMCPMC6069215

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