Search Results - "Wicks, M.C"

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  1. 1

    A deterministic least-squares approach to space-time adaptive processing (STAP) by Tapan Kumar Sarkar, Wang, Hong, Sheeyun Park, Adve, R., Jinwan Koh, Kyungjung Kim, Yuhong Zhang, Wicks, M.C., Brown, R.D.

    “…A direct data domain (D/sup 3/) least-squares space-time adaptive processing (STAP) approach is presented for adaptively enhancing signals in a nonhomogeneous…”
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    Journal Article
  2. 2

    Implementing digital terrain data in knowledge-aided space-time adaptive processing by Capraro, C.T., Capraro, G.T., Bradaric, I., Weiner, D.D., Wicks, M.C., Baldygo, W.J.

    “…Many practical problems arise when implementing digital terrain data in airborne knowledge-aided (KA) space-time adaptive processing (STAP). This paper…”
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    Journal Article
  3. 3

    Concurrent Extraction of Target Range and Doppler Information by Using Orthogonal Coding Waveforms by Hai Deng, Himed, B., Wicks, M.C.

    Published in IEEE transactions on signal processing (01-07-2007)
    “…In this paper, a novel approach for concurrent extraction of target range and Doppler information in radar systems is introduced. A pair of orthogonal…”
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    Journal Article
  4. 4

    Image feature-based space-time processing for ground moving target detection by Hai Deng, Himed, B., Wicks, M.C.

    Published in IEEE signal processing letters (01-04-2006)
    “…An image feature-based space time processing (IFSTP) algorithm is introduced to effectively detect ground moving targets in clutter and jamming via airborne…”
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    Journal Article
  5. 5

    STAP for clutter suppression with sum and difference beams by Brown, R.D., Schneible, R.A., Wicks, M.C., Wang, Hong, Yuhong Zhang

    “…A unique approach for airborne radar clutter rejection is developed and evaluated. This spatial and temporal adaptive approach employs the sum and difference…”
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    Journal Article
  6. 6

    Signal processing of wide bandwidth and wide beamwidth P-3 SAR data by Soumekh, M., Nobles, D.A., Wicks, M.C., Genello, G.R.J.

    “…This research is concerned with multidimensional signal processing and image formation with FOliage PENetrating (FOPEN) airborne radar data which were…”
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    Journal Article
  7. 7

    Development of a lower confidence limit for the number of signals by Pinyuen Chen, Wicks, M.C.

    Published in IEEE transactions on signal processing (01-06-2003)
    “…We propose a multistep procedure for constructing a lower confidence limit for computing the number of signals present in a vector measurement. We derive the…”
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    Journal Article
  8. 8

    Radio Frequency Tomography for Tunnel Detection by Lo Monte, L., Erricolo, D., Soldovieri, F., Wicks, M.C.

    “…Radio frequency (RF) tomography is proposed to detect underground voids, such as tunnels or caches, over relatively wide areas of regard. The RF tomography…”
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    Journal Article
  9. 9

    Frequency diverse array radars by Antonik, P., Wicks, M.C., Griffiths, H.D., Baker, C.J.

    Published in 2006 IEEE Conference on Radar (2006)
    “…This paper presents a generalized structure for a frequency diverse array radar. In its simplest form, the frequency diverse array applies a linear phase…”
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    Conference Proceeding
  10. 10

    RF Tomography with Application to Ground Penetrating Radar by Wicks, M.C.

    “…RF tomography and ground penetrating radar are combined to detect and identify hidden targets, such as underground facilities and hard and deeply buried…”
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    Conference Proceeding
  11. 11

    A procedure for detecting the number of signal components in a radar measurement by Pinyuen Chen, Wicks, M.C.

    “…This paper uses statistical selection theory to detect the multiplicity of the smallest eigenvalue of the covariance matrix, computed using measured…”
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    Conference Proceeding
  12. 12

    Multi-mission multi-mode waveform diversity by Antonik, P., Wicks, M.C., Griffiths, H.D., Baker, C.J.

    Published in 2006 IEEE Conference on Radar (2006)
    “…Previously, the authors presented a novel method for achieving range-dependent beamforming through the use of a frequency diverse array. The frequency diverse…”
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    Conference Proceeding
  13. 13

    Multistatic radar systems signal processing by Bradaric, I., Capraro, G.T., Weiner, D.D., Wicks, M.C.

    Published in 2006 IEEE Conference on Radar (2006)
    “…In this paper, a multistatic radar system with multiple receivers and one transmitter is analyzed. We address the rules for selecting the weights for fusing…”
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    Conference Proceeding
  14. 14

    Waveform Diversity for Different Multistatic Radar Configurations by Bradaric, I., Capraro, G.T., Wicks, M.C.

    “…The multistatic ambiguity function has recently been proposed as a tool for analyzing and designing multistatic radar systems. It was demonstrated through…”
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    Conference Proceeding
  15. 15

    Distributed and Layered Sensing: Relevant EMC Issues by Wicks, M.C., Moore, W.

    “…One can easily envision future military operations and emerging civilian requirements (e.g. intelligent unmanned vehicles for urban warfare, intelligent…”
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    Conference Proceeding
  16. 16

    Algorithmic techniques for discrimination among similar targets by Giompapa, S., Bradaric, I., Capraro, G.T., Wicks, M.C.

    “…We investigate how imaging sensors can be exploited to support airborne radar persistent tracking of targets with similar kinematics. We study two image…”
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    Conference Proceeding
  17. 17

    A brief history of waveform diversity by Wicks, M.C.

    Published in 2009 IEEE Radar Conference (01-05-2009)
    “…The U.S. Air Force has set an ambitious goal to be able to anticipate, find, fix, track, target, engage, and assess - anything, anytime, anywhere. We will not…”
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    Conference Proceeding
  18. 18

    Waveform Diversity and Electromagnetic Compatibility by Capraro, G.T., Bradaric, I., Wicks, M.C.

    “…Waveform diversity in multistatic radar systems can enhance distributed radar system performance. Dynamically changing the electromagnetic emanations of radar…”
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    Conference Proceeding
  19. 19

    Adaptive clutter cancellation in bistatic radar by Melvin, W.L., Callahan, M.J., Wicks, M.C.

    “…The detection performance of airborne bistatic radar depends on suitable clutter mitigation techniques. Space-time adaptive processing (STAP) is a candidate…”
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    Conference Proceeding
  20. 20

    Bistatic STAP: application to airborne radar by Melvin, W.L., Callahan, M.J., Wicks, M.C.

    “…We investigate bistatic STAP performance. We show that typical bistatic clutter environments appear nonstationary. Nonstationary behavior exacerbates STAP…”
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    Conference Proceeding