系统工程与电子技术
繫統工程與電子技術
계통공정여전자기술
SYSTEMS ENGINEERING AND ELECTRONICS
2015年
4期
782-788
,共7页
非高斯相关杂波%α稳定分布%自回归模型%杂波白化
非高斯相關雜波%α穩定分佈%自迴歸模型%雜波白化
비고사상관잡파%α은정분포%자회귀모형%잡파백화
non-Gaussian correlated clutter%α-stable distribution%auto regressive (AR ) model%clutter whitening
由于杂波非高斯特性和相关特性的影响,传统的动目标检测(moving target detection,MTD)技术的检测性能严重下降,针对该问题,基于对称α稳定分布(symmetric αstable,SαS)杂波模型和自回归(auto regres-sive,AR)模型理论,提出了一种基于 ARSαS 模型参数估计的雷达目标检测方法。该方法基于 SαS 模型,通过幂变换抑制杂波的非高斯特性,以及通过基于广义尤拉沃克方程参数估计的 AR 模型白化杂波,应用快速傅里叶变换实现对目标信号的积累,以提高信杂比。仿真实验和实测数据验证表明,所提方法在非高斯相关杂波背景下的检测性能明显优于传统的 MTD 方法。
由于雜波非高斯特性和相關特性的影響,傳統的動目標檢測(moving target detection,MTD)技術的檢測性能嚴重下降,針對該問題,基于對稱α穩定分佈(symmetric αstable,SαS)雜波模型和自迴歸(auto regres-sive,AR)模型理論,提齣瞭一種基于 ARSαS 模型參數估計的雷達目標檢測方法。該方法基于 SαS 模型,通過冪變換抑製雜波的非高斯特性,以及通過基于廣義尤拉沃剋方程參數估計的 AR 模型白化雜波,應用快速傅裏葉變換實現對目標信號的積纍,以提高信雜比。倣真實驗和實測數據驗證錶明,所提方法在非高斯相關雜波揹景下的檢測性能明顯優于傳統的 MTD 方法。
유우잡파비고사특성화상관특성적영향,전통적동목표검측(moving target detection,MTD)기술적검측성능엄중하강,침대해문제,기우대칭α은정분포(symmetric αstable,SαS)잡파모형화자회귀(auto regres-sive,AR)모형이론,제출료일충기우 ARSαS 모형삼수고계적뢰체목표검측방법。해방법기우 SαS 모형,통과멱변환억제잡파적비고사특성,이급통과기우엄의우랍옥극방정삼수고계적 AR 모형백화잡파,응용쾌속부리협변환실현대목표신호적적루,이제고신잡비。방진실험화실측수거험증표명,소제방법재비고사상관잡파배경하적검측성능명현우우전통적 MTD 방법。
The detection performance of the moving target detection (MTD)method descends badly in non-Gaussian correlated clutter background.Therefore,a radar target detection method based on parameter estima-tion for auto regressive symmetricαstable(ARSαS)model is proposed,which is obtained by theα-stable distri-bution clutter model and the AR model.The proposed method suppresses the non-Gaussian clutter by the signed power and whitens the correlated clutter by the AR model estimated by the Yule-Walker equation.Finally the fast Fourier transform is used to accumulate the target signal and get higher signal clutter ratio.Simulations and real data results show that the detection performance of the proposed method obviously outperforms the MTD method in non-Gaussian correlated clutter background.