Abstract

Automatic target recognition (ATR) in target search phase is very challenging because the target range and mobility are not yet perfectly known, which results in delay-Doppler uncertainty. In this paper, we firstly perform some theoretical studies on radar sensor network (RSN) design based on linear frequency modulation (LFM) waveform: (1) the conditions for waveform coexistence, (2) interferences among waveforms in RSN, (3) waveform diversity in RSN. Then we apply RSN to ATR with delay-Doppler uncertainty and propose maximum-likeihood (ML) ATR algorithms for fluctuating targets and nonfluctuating targets. Simulation esults show that our RSN vastly reduces the ATR error compared to a single radar system in ATR with delay-Doppler uncertainty. The proposed waveform design and diversity algorithms can also be applied to active RFID sensor networks and underwater acoustic sensor networks.

Highlights

  • AND MOTIVATIONThe goal for any target recognition system is to give the most accurate interpretation of what a target is at any given point in time

  • We firstly perform some theoretical studies on radar sensor network (RSN) design based on linear frequency modulation (LFM) waveform: (1) the conditions for waveform coexistence, (2) interferences among waveforms in RSN, (3) waveform diversity in RSN

  • We have studied LFM waveform design and diversity in radar sensor networks (RSN)

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Summary

INTRODUCTION

The goal for any target recognition system is to give the most accurate interpretation of what a target is at any given point in time. We are interested in studying automatic target recognition with range and speed uncertainty, that is, delay-Doppler uncertainty, using radar sensor networks (RSN). We are interested in studying algorithms on radar sensor network (RSN) design based on linear frequency modulation (LFM) waveform: (1) the conditions for waveform coexistence, (2) interferences among waveforms in RSN, (3) waveform diversity in RSN. We apply RSN to automatic target recognition (ATR) with delay-Doppler uncertainty. In [9], CF waveform design was applied to RSN with application to ATR without any delay-Doppler uncertainty. We will focus on the waveform design fusion for radar sensor networks using LFM waveform.

COEXISTENCE OF LFM RADAR WAVEFORMS
RSN with two radar sensors
RSN with M radar sensors
APPLICATION TO ATR WITH DELAY-DOPPLER UNCERTAINTY
ML-ATR for fluctuating targets with delay-Doppler uncertainty
ML-ATR for nonfluctuating targets with delay-Doppler uncertainty
SIMULATIONS
Findings
CONCLUSIONS AND FUTURE WORKS
Full Text
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