"September 2003" / Bibliography: leaves 209-216. / xxvi, 216 leaves : ill. ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / This thesis has introduced a number of enhancements to the PMHT algorithm, motivated by the Over the Horizon Radar tracking problem. The two primary enhancements are the incorporation of classification information, and the introduction of a discrete state model for the assignment prior probability. The modified PMHT algorithms achieved through these enhancements are referred to as PMHT-c and PMHT-y respectively. / Thesis (Ph.D.)--University of Adelaide, School of Electrical and Electronic Engineering, 2003

Includes bibliographical references. Due to the rapid deployment of modern over-the-horizon radars, antenna/sensor position errors may be present and, since the antennas have a simple and cost-effective design, mutual coupling may also be present. These imperfections, which can degrade radar performance, form the basis of the investigation. Also calibrates the receiving array of the Jindalee over-the-horizon radar (located in Central Australia) using echoes from meteor trails.

Thesis (Ph. D.)--University of Adelaide, 1998. / Includes bibliographical references.

Includes bibliographical references (p. 207-232) / xxii, 232 p. : ill. ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / Due to the rapid deployment of modern over-the-horizon radars, antenna/sensor position errors may be present and, since the antennas have a simple and cost-effective design, mutual coupling may also be present. These imperfections, which can degrade radar performance, form the basis of the investigation. Also calibrates the receiving array of the Jindalee over-the-horizon radar (located in Central Australia) using echoes from meteor trails. / Thesis (Ph.D.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 1998

Includes bibliographical references (p. 207-232) / xxii, 232 p. : ill. ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / Due to the rapid deployment of modern over-the-horizon radars, antenna/sensor position errors may be present and, since the antennas have a simple and cost-effective design, mutual coupling may also be present. These imperfections, which can degrade radar performance, form the basis of the investigation. Also calibrates the receiving array of the Jindalee over-the-horizon radar (located in Central Australia) using echoes from meteor trails. / Thesis (Ph.D.)--University of Adelaide, Dept. of Electrical and Electronic Engineering, 1998

Non-stationary signals, particularly frequency modulated (FM) signals which arecharacterized by their time-varying instantaneous frequencies (IFs), are fundamental to radar, sonar, radio astronomy, biomedical applications, image processing, speech processing, and wireless communications. Time-frequency (TF) analyses of such signals provide two-dimensional mapping of time-domain signals, and thus are regarded as the most preferred technique for detection, parameter estimation, analysis and utilization of such signals. In practice, these signals are often received with compressed measurements as a result of either missing samples, irregular samplings, or intentional under-sampling of the signals. These compressed measurements induce undesired noise-like artifacts in the TF representations (TFRs) of such signals. Compared to random missing data, burst missing samples present a more realistic, yet a more challenging, scenario for signal detection and parameter estimation through robust TFRs. In this dissertation, we investigated the effects of burst missing samples on different joint-variable domain representations in detail. Conventional TFRs are not designed to deal with such compressed observations. On the other hand, sparsity of such non-stationary signals in the TF domain facilitates utilization of sparse reconstruction-based methods. The limitations of conventional TF approaches and the sparsity of non-stationary signals in TF domain motivated us to develop effective TF analysis techniques that enable improved IF estimation of such signals with high resolution, mitigate undesired effects of cross terms and artifacts and achieve highly concentrated robust TFRs, which is the goal of this dissertation. In this dissertation, we developed several TF analysis techniques that achieved the aforementioned objectives. The developed methods are mainly classified into two three broad categories: iterative missing data recovery, adaptive local filtering based TF approach, and signal stationarization-based approaches. In the first category, we recovered the missing data in the instantaneous auto-correlation function (IAF) domain in conjunction with signal-adaptive TF kernels that are adopted to mitigate undesired cross-terms and preserve desired auto-terms. In these approaches, we took advantage of the fact that such non-stationary signals become stationary in the IAF domain at each time instant. In the second category, we developed a novel adaptive local filtering-based TF approach that involves local peak detection and filtering of TFRs within a window of a specified length at each time instant. The threshold for each local TF segment is adapted based on the local maximum values of the signal within that segment. This approach offers low-complexity, and is particularly useful for multi-component signals with distinct amplitude levels. Finally, we developed knowledge-based TFRs based on signal stationarization and demonstrated the effectiveness of the proposed TF techniques in high-resolution Doppler analysis of multipath over-the-horizon radar (OTHR) signals. This is an effective technique that enables improved target parameter estimation in OTHR operations. However, due to high proximity of these Doppler signatures in TF domain, their separation poses a challenging problem. By utilizing signal self-stationarization and ensuring IF continuity, the developed approaches show excellent performance to handle multiple signal components with variations in their amplitude levels. / Electrical and Computer Engineering