Michael Wicks
University of Dayton, Electrical and Computer Engineering, Faculty Member
Page 1. UNCLASSIFIED AD NUMBER ADB084552 NEW LIMITATION CHANGE TO Approved for public release, distribution unlimited FROM Distribution authorized to US Gov't. agencies and their contractors; Specific authority; 31 Aug 1987.... more
Page 1. UNCLASSIFIED AD NUMBER ADB084552 NEW LIMITATION CHANGE TO Approved for public release, distribution unlimited FROM Distribution authorized to US Gov't. agencies and their contractors; Specific authority; 31 Aug 1987. ...
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ABSTRACT This paper develops the theory of both optimum and adaptive MIMO radar. It is shown that the optimum MIMO transmit-receiver pair consists of a coupled multidimensional eigensystem and whitening matched filter. Also introduced, is... more
ABSTRACT This paper develops the theory of both optimum and adaptive MIMO radar. It is shown that the optimum MIMO transmit-receiver pair consists of a coupled multidimensional eigensystem and whitening matched filter. Also introduced, is an design procedure for the clutter dominant case. After illustrating theoretical performance gains relative to conventional radar, we address the practical problem of adapting the transmit-receiver pair on-the-fly when the optimization must address multiple possible targets and/or signal (input) dependent noise (e.g., clutter). The resulting architecture combines the orthogonal transmit waveform MIMO radar with the aforementioned coupled transmit-receiver design pair with adaptive estimates for the radar channel.
Calibration considerations and the performance analysis of an L-band airborne clutter measurement system are discussed. The measurement system is designed to collect simultaneous bistatic and monostatic clutter measurements in support of... more
Calibration considerations and the performance analysis of an L-band airborne clutter measurement system are discussed. The measurement system is designed to collect simultaneous bistatic and monostatic clutter measurements in support of the hybrid bistatic radar (HBR) system. The analysis techniques used to define the experiment geometry and resulting resolution cells, calibration considerations, and the impact on the ability to determine clutter radar cross sections are described. The calibration techniques selected involved the transfer of calibration data from optimal geometries for calibration, to the geometries of interest in this program
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The secondary data for estimating the clutter covariance matrix in space-time adaptive processing (STAP) is normally obtained from range rings surrounding the test range ring. The assumption is that near-by range rings are representative... more
The secondary data for estimating the clutter covariance matrix in space-time adaptive processing (STAP) is normally obtained from range rings surrounding the test range ring. The assumption is that near-by range rings are representative of the test range ring. However, this is not always true. A clutter model was developed and the condition necessary for obtaining a good estimate of the clutter covariance matrix is presented. A theoretical basis for choosing reference rings, which contain clutter patches that are representative of one or two patches within the test range ring, is provided. An algorithm for using a priori map data to classify clutter patches based upon the type of land features contained within them is presented. It is conjectured that patches with equivalent classifications will have representative radar returns. Applications to post-Doppler processing are presented and positive results are provided using radar data.
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Research Interests: Probability Theory, Algorithms, Statistics, Signal Processing, Methodology, and 20 morePolarimetry, Adaptation, Theory, Recording, Probability, Optimization, Simulation, Spectral Theory, Adaptive Systems, Processing, Polarization, Clutter, Channels, GNSS receivers, Formulations, ORTHOGONALITY, Indexation, Data Consistency, Signal to Noise Ratio, and Waveforms
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The secondary data for estimation of the clutter covariance matrix in space-time adaptive processing (STAP) is normally obtained from range rings in the vicinity of the test range ring. The assumption is that near-by range rings are... more
The secondary data for estimation of the clutter covariance matrix in space-time adaptive processing (STAP) is normally obtained from range rings in the vicinity of the test range ring. The assumption is that near-by range rings are representative. However, this is not always true. A clutter model is developed and the condition necessary for obtaining a good estimate of the
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Page 1. 6 CFAR KNOWLEDGE-AIDED RADAR DETECTION AND ITS DEMONSTRATION USING MEASURED AIRBORNE DATA Christopher T. Capraro, Gerard T. Capraro, Antonio De Maio, Alfonso Farina, and Michael C. Wicks ...
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Advanced airborne radar systems are required to detect targets in the presence of both clutter and jamming. The ground clutter observed by an airborne platform is ex-tended in both angls and range, and is spread in Doppler frequency... more
Advanced airborne radar systems are required to detect targets in the presence of both clutter and jamming. The ground clutter observed by an airborne platform is ex-tended in both angls and range, and is spread in Doppler frequency because cif the platform motion. For low ...
An autonomous intelligent radar system (AIRS) deployed on a surveillance aircraft is briefly described. A net-centric compliant approach for integrating AIRS is presented. An overview of unmanned autonomous air vehicle research is... more
An autonomous intelligent radar system (AIRS) deployed on a surveillance aircraft is briefly described. A net-centric compliant approach for integrating AIRS is presented. An overview of unmanned autonomous air vehicle research is provided along with a discussion of some of the issues with integrating AIRS aboard these vehicles.
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Page 1. ASSESSMENT OF MULTICHANNEL AIRBORNE RADAR MEASUREMENTS FOR ANALYSIS AND DESIGN OF SPACE-TIME PROCESSING ARCHITECTURES AND ALGORITHMS* William L. Melvin, Michael C. Wicks ...
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Page 1. DOA Estimation Utilizing Directive Elements on a Conformal Surface Signal 1 Signal 2 Signal 3 Kyungjung Kim and Tapan K. Sarkar Department of Electrical Engineering and Computer science Syracuse University; Syracuse ...
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This paper introduces a new space-time adaptive processing architecture for nonhomogeneous radar environments that exploits the multiresolution analysis of the multistage Weiner filter by interleaving the generalized inner-product. The... more
This paper introduces a new space-time adaptive processing architecture for nonhomogeneous radar environments that exploits the multiresolution analysis of the multistage Weiner filter by interleaving the generalized inner-product. The simplest form of this architecture results in performing the generalized inner-product within the generalized sidelobe canceller. In general, the new architecture provides a signal-dependent generalized inner-product which intends to detect only
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The authors investigate detectors for multisensor distributed detection, considering memoryless detector structures which generalize nonparametric tests and exhibit nonparametric properties in special cases. In general, such structures... more
The authors investigate detectors for multisensor distributed detection, considering memoryless detector structures which generalize nonparametric tests and exhibit nonparametric properties in special cases. In general, such structures are convenient to implement. The optimal design of nonlinear transformations and linear weighting functions is discussed, and some optimal solutions are obtained. Asymptotically optimal implementation of the maximum likelihood detector is derived, and the resulting error probabilities are derived or bounded. Asymptotic relative efficiencies are calculated in some cases. The robust design of multisensor detection systems for a large number of samples is also discussed and solved in one case
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Multidimensional adaptive signal processing algorithms are vital components of advanced radar systems, improving detection and throughput performance by exploiting signal diversity. Our focus in this paper centers on some implementation... more
Multidimensional adaptive signal processing algorithms are vital components of advanced radar systems, improving detection and throughput performance by exploiting signal diversity. Our focus in this paper centers on some implementation issues facing adaptive radar algorithms. To this end, we mainly discuss challenges associated with clutter heterogeneity and nonstationarity. Furthermore, we overview some algorithm-based solutions to improve detection performance