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Optimum Waveform Scheduling with Software Defined Radar for Tracking Applications

Ghosh, Amrita

Abstract Details

2010, Master of Science, Ohio State University, Electrical and Computer Engineering.

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.

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.

Emre Ertin, PhD (Advisor)
Lee Potter, PhD (Advisor)
73 p.

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Citations

  • Ghosh, A. (2010). Optimum Waveform Scheduling with Software Defined Radar for Tracking Applications [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1276832418

    APA Style (7th edition)

  • Ghosh, Amrita. Optimum Waveform Scheduling with Software Defined Radar for Tracking Applications. 2010. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1276832418.

    MLA Style (8th edition)

  • Ghosh, Amrita. "Optimum Waveform Scheduling with Software Defined Radar for Tracking Applications." Master's thesis, Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1276832418

    Chicago Manual of Style (17th edition)