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Radar Signal Characteristic Extraction with FFT-Based Techniques

Pennington, Jason R.

Abstract Details

2011, Master of Science, Miami University, Computational Science and Engineering.
This research project develops computationally efficient digital signal processing algorithms for digital wideband receivers to determine the existence of radar signals and, if radar signal(s) are present, extract in real time, pertinent signal characteristics such as frequency, signal power, modulation type, and pulse width. Unlike a conventional communication receiver, the digital wideband receiver algorithms considered in this project assume no a priori knowledge about the number of radar signals and their characteristics. Two types of radar signals, namely, pulsed continuous-wave (CW) and chirping signals, are considered in this thesis. Different techniques are exploited to optimize receiver performance. The receiver algorithms developed in this project can successfully detect multiple signals with different characteristics.
Chi-Hao Cheng, PhD (Advisor)
Donald Ucci, PhD (Committee Member)
Dmitriy Garmatyuk, PhD (Committee Member)
66 p.

Recommended Citations

Citations

  • Pennington, J. R. (2011). Radar Signal Characteristic Extraction with FFT-Based Techniques [Master's thesis, Miami University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=miami1306201663

    APA Style (7th edition)

  • Pennington, Jason. Radar Signal Characteristic Extraction with FFT-Based Techniques. 2011. Miami University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=miami1306201663.

    MLA Style (8th edition)

  • Pennington, Jason. "Radar Signal Characteristic Extraction with FFT-Based Techniques." Master's thesis, Miami University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=miami1306201663

    Chicago Manual of Style (17th edition)