Dissertation > Excellent graduate degree dissertation topics show

STAP and Target Detection Technique for Airborne Radar in Nonhomogeneous Environments

Author: XieWenChong
Tutor: WangYongLiang
School: National University of Defense Science and Technology
Course: Information and Communication Engineering
Keywords: Phased Array Airborne Radar Space Time Adaptive Processing (STAP) Nonhomogeneity Target Detection Measured Data
CLC: TN959
Type: PhD thesis
Year: 2006
Downloads: 442
Quote: 6
Read: Download Dissertation

Abstract


Clutter suppression is critical to airborne radar. In addition to the conventional techniques such as ultralow sidelobe antennas and displaced phased center antenna (DPCA), there has been great interest in space-time adaptive processing (STAP) because it can suppress clutter effectively and improve the detection performance of airborne phased array radar evidently. The premise of the superiority of the conventional statistical STAP is to have ample training samples with interference that are independently and identically distributed (IID) with interference in the test sample, in order to estimate the covariance matrix. Under the nonhomogeneous environment, the performance of the conventional statistical STAP degrades greatly due to lack of sufficient homogeneous training samples.This paper puts its emphasis on the investigation of the STAP algorithm and target detection technique for phased array airborne radar in nonhomogeneous environments. Firstly, some basic knowledge of nonhomogeneous STAP is introduced. Secondly, the nonhomogeneous STAP algorithms are investigated in terms of conventional nonhomogeneous environments, non-sidelooking phased array, cylindrical phased array, and airborne fire-control radar etc. Finally, the problems of clutter suppression and target detection are studied based on measured data for phased array airborne radar. In chapter 2, the STAP method is studied in conventional nonhomogeneous environment. In chapter 3, the clutter suppression approach to airborne radar with non-sidelooking phased array antennas is investigated. In chapter 4, clutter model and clutter suppression for airborne early warning (AEW) radar with cylindrical phased array antennas is studied. In chapter 5, the problem of the ground moving target indication (GMTI) and air moving target indication (AMTI) for airborne fire-control radar is reseached. In chapter 6, the subarray partition problem for airborne phased radar is discussed in pratical engineering application background, and the STAP performance is analyzed at subarray stage. In chapters 7 and 8, the moving target detection technique of phased array airborne radar is analyzed based on measured data, and the simple and effective moving target detection methods are given.

Related Dissertations

  1. Research on Joint Target Detection for Dual-Sensor Image and System Implementation,TP391.41
  2. Moving target trajectory analysis based Intelligent Traffic Monitoring System,TP277
  3. Research of Moving Object Detection and Tracking Technology,TP391.41
  4. Target Tracking System Design and Implementation,TP391.41
  5. Moving target trajectory based recognition system for human-computer interaction,TP391.41
  6. Multi-target detection and tracking method of visual and video surveillance software platform development,TP391.41
  7. Study on Detection Methods about of MMW Fuze Echo Signal of Target on the Ground,TJ430.6
  8. Gesture of human-computer interaction and fingertip detection algorithm based research,TP274
  9. Video Mean-Shift tracking algorithm applied research,TP391.41
  10. Waterway monitoring detection and tracking of ships,TP391.41
  11. Embedded target detection and tracking system design and algorithm implementation,TP391.41
  12. Video surveillance system moving target detection algorithm,TP391.41
  13. Technology Research of Energy Efficient Target Detection Based on Wireless Sensor Networks,TP274
  14. The Research of Kernel Density Estimation and Particle Filter Moving Object Detection and Tracking,TP391.41
  15. Movement of vehicles in the traffic information collection system detection and recognition technology,TP274.2
  16. Multi-channel Information Infusion of Spherical Compound Eye,TP202
  17. Research and Implementation based on weighted HU invariant moments surveillance video of human behavior recognition method,TP391.41
  18. Based on probability density distributions and fuzzy entropy Target Detection,TP391.41
  19. SIFT-based vector field moving target detection algorithm,TP391.41
  20. Pedestrian traffic statistics based on video technology,TP391.41
  21. Video traffic in the background extraction and shadow detection methods Research and Implementation,TP391.41

CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar: zoning
© 2012 www.DissertationTopic.Net  Mobile