Space-Time Adaptive Processing for Airborne Radar by J.Ward

버전 2.0.0.1 (3.78 MB) 작성자: Ilias Konsoulas
Reproduction of J.Ward's Technical Report 1015 figures.
5.0
(19)
다운로드 수: 3.6K
업데이트 날짜: 2018/9/23

라이선스 보기

This submission contains a set of scripts that reproduce the figures included in the seminal J.Ward's technical report on airborne STAP. This may be valuable to any STAP newcomer because it demonstrates the fundamental STAP concepts. It provides the path from mathematical formulas to crisp numerical results thus verifying the presented performance of various processing methods. Specifically, all figures from the following chapters have been reproduced:
Chapter 2: Airborne Array Radar Signal Environment.
Chapter 3: Space-Time Processing Fundamentals.
Chapter 5: Element-Space STAP.
Chapter 6: Beamspace STAP.
Chapter 7: Additional Performance Results.
In addition, the performance of the basic Sample Matrix Inversion (SMI) algorithm is demonstrated by few Monte-Carlo runs in Figure 29 reproduction script.

인용 양식

Ilias Konsoulas (2024). Space-Time Adaptive Processing for Airborne Radar by J.Ward (https://www.mathworks.com/matlabcentral/fileexchange/47750-space-time-adaptive-processing-for-airborne-radar-by-j-ward), MATLAB Central File Exchange. 검색됨 .

MATLAB 릴리스 호환 정보
개발 환경: R2017a
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux
카테고리
Help Center 및 MATLAB Answers에서 Beamforming and Direction of Arrival Estimation에 대해 자세히 알아보기

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Common

Utilities

Ch.2 Airborne Array Radar Signal Environment

Ch.3 Space-Time Processing Fundamentals

Ch.5 Element-Space STAP

Ch.6 Beamspace STAP

Ch.7 Additional Performance Results

버전 게시됨 릴리스 정보
2.0.0.1

Updated the MatLab version which I used to update the latest version.
2.0.0.0

I have prettified the code and corrected some typos. Also, I have modularized the repeatd sections of code into common scripts. I included a couple of clutter covariance matrix computation functions. I have published all the figures in html format.
1.3.0.0

I have used markup and cell programming to convert some matlab scripts to nice html format. Now the interested readers may see the resulting figures for chapters 2, 3 and 5.
I added the figures of the last chapter of this report titled "Additional Performance Results". I have also corrected/deleted some comments and improved the appearance of the code.
Minor Corrections in the submission's presentation page. I also tried a better picture.
Updated the description text of this submission.
1.2.0.0

Figures from chapters 5 and 6 have been added.
1.1.0.0

Correction of this submission's description text.
1.0.0.0