相控陣列雷達為各國積極投入所發展之機載偵蒐雷達關鍵技術，機
載雷達之重要功能包含對地低速目標檢測(GroundMovingTarget Indica
tion,GMTI)。本次研究將機載雷達之GMTI為主軸，開發異質環境下時空雙
域自適應濾波(Space-Time Adaptive Processing,STAP) 演算法，用於次陣列
多通道數位化空用雷達之GMTI任務。
本研究提出利用非均勻檢測器與直接數據域之混合架構降維度STAP演
算法，基於降維度STAP下，藉由直接數據域(DirectDataDomain,D3)構成
降維度矩陣，能針對測試資料集進行離散干擾壓制，並透過非均勻檢測器
(Non-Homogeneous Detector,NHD) 對訓練資料集進行篩選，有效避免訓練
資料集當中之非均勻成分對雜波統計特性矩陣造成影響，有效並避免目標
自抑效應(Targetself-nulling)，與離散干擾(Discrete interference) 所造成的誤
警。本研究透過MATLAB產生雷達基頻訊號，構建雷達資料集，並於雷達
資料集當中添加離散干擾與目標特性相似訊號，分析不同STAP演算法架
構下，非均勻資料集所造成損害，並藉由本研究提出之新架構有效解決測
試資料集離散干擾與訓練資料集導致目標自抑之非理想效應

Phased-array radar has emerged as a key airborne surveillance radar technol
ogy, actively developed by nations worldwide. Among the critical functions of
airborne radar systems is the detection of low-velocity ground targets, or Ground
MovingTargetIndication(GMTI).ThisstudyfocusesonGMTIapplicationsofair
borne radar, developing a Space-Time Adaptive Processing (STAP) algorithm de
signed for non homogeneous environments to support GMTI tasks in sub-arrayed,
multi-channel digital airborne radar. In this research, a hybrid reduced dimension
STAP algorithm, combining a Non-Homogeneous Detector (NHD) with a Direct
Data Domain (D3) approach, is proposed. Within this framework, the dimension
reduction matrix is constructed directly from the data domain, enablingsuppression
of discrete interference in the test dataset. Concurrently, the Non-Homogeneous
Detector filters the training dataset to prevent non-homogeneous components from
affecting the clutter covariance matrix.
MATLABisutilizedtogeneratebasebandradarsignals,constructaradardataset,
and inject discrete interference and multiple targets to simulate realistic scenarios.
The performance of different STAP algorithm architectures is then analyzed to as
sess the impact of non-homogeneous datasets. The proposed algorithm demon
strates an effective solution for addressing discrete interference in the test data and
eliminating non-ideal effects in the training data.

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