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siyang_cao_dissertation_Nov_24_2014.pdf (3.93 MB)

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Radar Sensing Based on Wavelets

Cao, Siyang
http://rave.ohiolink.edu/etdc/view?acc_num=osu1416996784

Abstract Details

2014, Doctor of Philosophy, Ohio State University, Electrical and Computer Engineering.
Radar waveform design is an active research area for decades. With the advent of advanced digital signal processing, high speed computing, high frequency electronics, and solid state power amplifiers, emerging radar systems (such as UWB radar, multiple-input and multiple-output (MIMO) radar, cognitive radar, etc.) are expecting more from their waveforms. Taking advantage of the new techniques, scientists and engineers are able to implement new waveforms to achieve significantly better performance for conventional radar systems, namely target detection including range, speed, and shape. The objective of this dissertation is to exploit a practical way to build flexible waveforms for the modern radar. On the other hand, conventional radar systems detect targets or pixels of an area individually. Each target or pixel generates a set of data in real-time, which must be recorded for off-line processing. When the number of elements is increased, phased array radar is able to generate narrow beams, which can detect more targets or cover larger areas for data collection in high definition. The disadvantage is the increased time in sensing since narrow beams need more time to cover the same area than wider beams. To address this issue, the sensing mechanism needs to be studied. The objective of this dissertation is to exploit a new sensing mechanism, named transform sensing, to cover wider areas, tracking more moving objects, and providing high resolution of the target area with limited times of sensing. Because the waveform design and transform sensing in this dissertation are all based on wavelets, the dissertation introduces the wavelet basics. Then the wavelet based waveform is presented. This waveform is generated by concatenating wavelet packets, and can suppress range sidelobes more effectively than the tranditional Linear Frequency Modulated (LFM) waveform. In addition, the wavelet based waveform can de-couple its envelope and carrier for range and velocity estimations, respectively, because of which the speed detection and range detection using the proposed waveform is more stable for high speed targets than the LFM waveform. Consequently, the wavelet based waveform produces higher accuracy (and resolution) in range or velocity detection. The wavelet based waveform can be applied to the Synthetic Aperture Radar (SAR) for improved performance. The range and velocity detection is directly associated with range and azimuth detection for the stripmap SAR, we further compare the wavelet based waveform with the traditional LFM in the stripmap SAR simulation. On the other hand, this dissertation discusses the feasibility of transform sensing using wavelets. First, the way in which different sensing patterns can be formed and achieve a coarse-to-detail spatial resolution is dicussed. Then, realization of different sensing patterns by the phased array is discussed in detail. Because the transform sensing is feasible to be realized by the state of the art technique, a simulation generating wavelets for different sensing patterns is shown. A preliminary experiment is further implemented.
Yuan Zheng (Advisor)
Chris Baker (Committee Member)
Chi-Chih Chen (Committee Member)
137 p.
Electrical Engineering; Remote Sensing
Radar Waveform, Pulse Compression Waveform, Wavelets, Phased Array

Recommended Citations

Citations

  • Cao, S. (2014). Radar Sensing Based on Wavelets [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1416996784

    APA Style (7th edition)

  • Cao, Siyang. Radar Sensing Based on Wavelets. 2014. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1416996784.

    MLA Style (8th edition)

  • Cao, Siyang. "Radar Sensing Based on Wavelets." Doctoral dissertation, Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1416996784

    Chicago Manual of Style (17th edition)

osu1416996784
4,007
© 2014, some rights reserved.Creative Commons License Radar Sensing Based on Wavelets by Siyang Cao is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by The Ohio State University and OhioLINK.