Three novel approaches that are based on a recent communication technique called
time compression overlap-add (TC-OLA), are introduced into pulse compression (PC)
radar systems to improve the radar waveform shaping and enhance radar performance.
The first approach lays down a powerful framework for combining the TC-OLA technique
into traditional PC radar system. The new TC-OLA-based radar obtained is
compared with other radars, namely traditional linear frequency modulation (LFM),
and wideband LFM which has the same processing gain under different background
situations. The results show the superiority of the proposed radar over the others.
The second approach combines a random phase noise signal with a selected radar
signal to build a new radar system, SSLFM radar, that enjoys the low-probability of
intercept property, and, therefore, has higher immunity against noise jamming techniques
compared with other radar systems. The properly recovery of the transmitted
signal, however, requires a synchronization system at the receiver side. In this dissertation,
we propose three synchronization systems each having different pros and
cons. The last approach takes the radar waveform design methodology in a different
direction and proposes a novel framework to combine any number of radar signal
and transmit them simultaneously. Instead of trying to achieve universality through
waveform shaping optimization, we do so via pluralism. As a proof of concept, all the proposed radars have been implemented and tested on software-defined radar (SDR).
The theoretical and the experimental results showed the superiority of all proposed
radar systems. Since TC-OLA is fundamental to this work, we add a chapter to
propose a new technique called downsample upsample shift add (DUSA) to address
the limitations of the existing implementation of TC-OLA. / Graduate
Identifer | oai:union.ndltd.org:uvic.ca/oai:dspace.library.uvic.ca:1828/10403 |
Date | 11 December 2018 |
Creators | Youssef, Ahmed |
Contributors | Gebali, Fayez, Driessen, Peter F. |
Source Sets | University of Victoria |
Language | English, English |
Detected Language | English |
Type | Thesis |
Format | application/pdf |
Rights | Available to the World Wide Web |
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