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.

Highlights

  • The pulse Doppler (PD) process is an important technique for detecting moving targets in scenarios with clutter

  • Caused by the fixed parameters such as the pulse repetition interval (PRI) and intra-pulse modulation, the detection results of remote targets are ambiguous with units of PRI [1]

  • We focus on range ambiguity suppression and moving target detection under strong clutter with medium to low pulse repetition frequency (PRF) PD systems

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Summary

Introduction

The pulse Doppler (PD) process is an important technique for detecting moving targets in scenarios with clutter. By using well-designed receiving filters, similar sidelobe structures can be obtained by different pulses, which will mitigate the sidelobe dispersions to a great extent [12,13] All these procedures only concern the case when the clutter matches with the receiving filter. Aiming at this problem, a joint range and Doppler optimization method is proposed at the expense of significantly increased computation [3]. We focus on range ambiguity suppression and moving target detection under strong clutter with medium to low pulse repetition frequency (PRF) PD systems. A novel time-domain clutter suppression procedure is included in the process, by which the clutter dispersions in remote target detection can be eliminated efficiently.

Signal Model
Optimal Receiving Filters
Basic PD Process
F 1 1 e
Clutter
Clutter Suppression Using Diverse Pulse Train
Simulation Results
Conclusions
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