Optimum Waveform Scheduling with Software Defined Radar for Tracking Applications

Optimum Waveform Scheduling with Software Defined Radar for Tracking Applications

Bibliographic Details
Main Author: Ghosh, Amrita
Language:English
Published: The Ohio State University / OhioLINK 2010
Subjects:
Electrical Engineering
Waveform scheduling
Software defined radar
Radar
Tracking
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=osu1276832418
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-osu12768324182021-08-03T06:00:01Z Optimum Waveform Scheduling with Software Defined Radar for Tracking Applications Ghosh, Amrita Electrical Engineering Waveform scheduling Software defined radar Radar Tracking <p>There has been tremendous advancement of digital technology over the past years. With the availability of high speed analog to digital (A/D) and digital to analog (D/A) converters, digital signal processor (DSP) enabled real-time processors with fast field programmable gate arrays (FPGAs), it is now possible to build a software defined radar (SDR), which is capable of switching transmit-waveforms adaptively on-the-fly at each pulse repetition interval (PRI). Using SDR it is possible to improve resolution by transmitting waveforms which are adapted to the scene. It is also possible to perform multi-mode operation such as combination of tracking and imaging. To exploit SDR's huge capability in terms of adaptive waveform selection in an efficient way, it is now necessary to study different waveforms and build optimum waveform scheduling techniques for different radar operations. </p><p>In this thesis we consider the problem of waveform scheduling for multiple range-Doppler radars operating collaboratively for target tracking. First, we consider the canonical case of collocated radar platforms, each capable of choosing a waveform at every PRI from a fixed chirp waveform library. We assume the radars fuse the information that they obtain from their measurements after each chirp pulse in a Kalman Filter tracking framework to obtain the posterior distribution of the target state. The radars then use the resulting distribution to jointly select their next waveform set. Our results extend previous work on information theoretic waveform-scheduling proposed for single range-Doppler radar to multiple radars interrogating the same target. We show that the radar platforms must employ a mixture of minimum and maximum chirp-rates supported by the radar hardware to maximize mutual information between the target state and measurements. Finally, the results are extended to an arbitrary number of radars located at arbitrary positions in 2-D plane. Thus, we show that to achieve improved radar tracking performance with multiple range-Doppler radars, out of infinite possibilities of chirp waveforms, the optimum waveform library needs to contain only two chirp waveforms with the minimum and maximum allowable chirp rates.</p> 2010-09-15 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1276832418 http://rave.ohiolink.edu/etdc/view?acc_num=osu1276832418 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Electrical Engineering
Waveform scheduling
Software defined radar
Radar
Tracking
spellingShingle Electrical Engineering
Waveform scheduling
Software defined radar
Radar
Tracking
Ghosh, Amrita
Optimum Waveform Scheduling with Software Defined Radar for Tracking Applications
author Ghosh, Amrita
author_facet Ghosh, Amrita
author_sort Ghosh, Amrita
title Optimum Waveform Scheduling with Software Defined Radar for Tracking Applications
title_short Optimum Waveform Scheduling with Software Defined Radar for Tracking Applications
title_full Optimum Waveform Scheduling with Software Defined Radar for Tracking Applications
title_fullStr Optimum Waveform Scheduling with Software Defined Radar for Tracking Applications
title_full_unstemmed Optimum Waveform Scheduling with Software Defined Radar for Tracking Applications
title_sort optimum waveform scheduling with software defined radar for tracking applications
publisher The Ohio State University / OhioLINK
publishDate 2010
url http://rave.ohiolink.edu/etdc/view?acc_num=osu1276832418
work_keys_str_mv AT ghoshamrita optimumwaveformschedulingwithsoftwaredefinedradarfortrackingapplications
_version_ 1719429166211792896

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