Dissertation > Excellent graduate degree dissertation topics show

Research on Covariance Matrix in Statistical STAP

Author: WangLin
Tutor: ChangJianPingï¼›ZhuGenCai
School: Nanjing University of Aeronautics and Astronautics
Course: Communication and Information System
Keywords: Radar Signal Processing Space-Time Adaptive Processing(STAP) Covariance Matrix(CM) Weighted Maximum Likelihood Estimation(WMLE) Cholesky decomposition Block Inversion Diagonal Loading(DL)
CLC: TN958.92
Type: Master's thesis
Year: 2009
Downloads: 91
Quote: 0
Read: Download Dissertation

Abstract


The clutter of airborne phased array radar presents itself coupling characteristic in temporal-spatial dimensions, which makes sure that the clutter suppression could be achieved by Space-Time Adaptive Processing(STAP). As the clutter Covariance Matrix(CM) fully contains information of clutter and noise, the CM_STAP algorithm related to not only clutter suppression ability for statistical STAP , but also had important impact on real-time work.In this paper, the covariance matrix algorithm in statistical STAP was studied, a number of algorithms were improved, and the corresponding theoretical and experimental simulation was made.Based on clutter covariance matrix and statistical STAP algorithm research for phased array radar, problems involved in STAP was analyzed, including nonhomogeneous clutter enverinment and compution load. Considering the difficulty in matrix estimation and inverse operation for optimal STAP algorithm, the paper explored two reduce-rank STAP algorithms.The paper made research on the estimation and inversion algorithms for statistical STAP. Firstly analyzed a kind of algorithm which was not only rank-reduced but also could accurately estimated covariance matrix. Then a quick statistical STAP matrix inverse algorithm in Matlab platform was proposed, which improved the efficiency of 27.6% than matlab function.In order to improve the performance of adaptive beamforming, analysis of covariance matrix diagonal loading algorithm was presented and new method for calculating the loading level was provided. Simulation proved that the algorithm effectively solved system performance loss due to lack of sample data.

Related Dissertations

  1. MATLAB for post-processing in the radar signal processor system simulation applications,TN957.51
  2. Research on IF and Baseband Signal Processing for 24GHz Automotive Collision Avoidance Radar,TN958
  3. Pulsed radar signal processing system Simulation Platform,TN957.51
  4. MATLAB simulation application for pre- processing of the radar signal processor system,TN957.51
  5. Research of Signal Processing Method and System in General Map of Airborne Radar,V243.2
  6. Research and Engineering Design of Signal Processing for Airborne Weather Radar,TN959.4
  7. Design of a General-purpose Radar Signal Processing System Based on TS201 and VXS,TN957.51
  8. Research of Signal Processing Design in Weapon Locating Radar,TN957.51
  9. Simulation Research of Radar Signal Processing System and Its Implementation in FPGA,TN957.51
  10. Study on STAP Method in Non-homogeneous Clutter Environment,TN957.51
  11. Pulsed Doppler signal processing real-time simulation algorithms,TN957.51
  12. The Hardware Implementation of Radar Signal Processing,TN957.51
  13. A Kind of Universal Signal Processing Module Design and Implementation Based on FPGA,TN957.51
  14. Research on Signal Processing for Coherent MIMO Radar,TN957.52
  15. Research on 60GHz LFMCW Radar Signal Processing,TN957.51
  16. The Application and the Analysis of Error of FPGA on Radar Signal Processing,TN957.51
  17. A secondary analysis of radar signal processing algorithms and hardware implementation module,TN958.96
  18. DBF real time signal processing array radar technology research,TN957.51
  19. Scattering Centers Extraction of Radar Target Based on Spread Spectrum and Compressed Sensing,TN957.51
  20. Design and Implementation of the radar signal reconnaissance processor in the control,TN957.51
  21. A certain type of fire-control radar signal processing simulation,TN957.51

CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar: institutional sub- > Phased array radar
© 2012 www.DissertationTopic.Net  Mobile