<P> For over six decades, the theory and design of radar systems have been dominated
by probability theory and statistics, information theory, signal processing and control.
However, the similar encoding-decoding property that exists between the visual
brain and radar has been sadly overlooked in all radar systems. This thesis lays
down the foundation of a new generation of radar systems, namely cognitive radar,
that was described in a 2006 seminal paper by Haykin. Four essential elements of
cognitive radar are Bayesian filtering in the receiver, dynamic programming in the
transmitter, memory, and global feedback to facilitate computational intelligence. All
these elements excluding the memory compose a well known property of mammalian
cortex, the perception-action cycle. As such, the cognitive radar that has only this
cycle is named as the basic cognitive radar (BCR). For t racking applications, t his
thesis presents the underlying theory of BCR, with emphasis being placed on the
cubature Kalman filter to approximate the Bayesian filter in the receiver, dynamic
optimization for transmit-waveform selection in the transmitter, and global feedback
embodying the transmitter , the radar environment, and the receiver all under one
overall feedback loop. </p> <p> Built on the knowledge learnt from the BCR, this thesis expands the basic perception-action
cycle to encompass three more properties of human cognition , that is, memory, attention, and intelligence. Specifically, the provision for memory includes the three
essential elements, i. e. , the perceptual memory, executive memory, and coordinating
perception-action memory that couples the first two memories. Provision of the three
memories adds an advanced version of cognitive radar, namely the nested cognitive
radar (NCR) in light of the nesting of three memories in the perception-action cycle. </p> <p> In this thesis, extensive computer simulations are also conducted to demonstrate
the ability of this new radar concept over a conventional radar structure. Three
important scenarios of tracking applications are considered, they are (a), linear target
tracking; (b), falling object tracking; and (c), high-dimensional target tracking
with continuous-discrete model. All simulation results confirm that cognitive radar
outperforms the conventional radar systems significantly. </p> <p> In conducting the simulations, an interesting phenomenon is also observed, which
is named the chattering effect. The underlying physics and mathematical model of
this effect are discussed. For the purpose of studying the behaviour of cognitive
radar in disturbance, demonstrative experiments are further conducted. Simulation
results indicate the superiority of NCR over BCR and t he conventional radar in low,
moderate and even strong disturbance. </p> / Thesis / Doctor of Philosophy (PhD)
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/19464 |
| Date | 09 1900 |
| Creators | Xue, Yanbo |
| Contributors | Haykin, Simon, Electrical and Computer Engineering |
| Source Sets | McMaster University |
| Language | English |
| Detected Language | English |
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