雷达学报
雷達學報
뢰체학보
JOURNAL OF RADARS
2014年
2期
129-141
,共13页
许稼%彭应宁%夏香根%龙腾%毛二可
許稼%彭應寧%夏香根%龍騰%毛二可
허가%팽응저%하향근%룡등%모이가
雷达信号处理%微弱目标%相参积累%检测前聚焦%检测前跟踪%杂波抑制%Radon-Fourier变换(RFT)
雷達信號處理%微弱目標%相參積纍%檢測前聚焦%檢測前跟蹤%雜波抑製%Radon-Fourier變換(RFT)
뢰체신호처리%미약목표%상삼적루%검측전취초%검측전근종%잡파억제%Radon-Fourier변환(RFT)
Radar signal processing%Weak target%Coherent integration%Focus-Before-Detects (FBD)%Tracking-Before-Detects (TBD)%Clutter suppressing%Radon-Fourier Transform (RFT)
针对复杂电磁环境中现代雷达对高速、高机动、隐身目标探测的迫切需求,该文基于空时频域信号建模,提出多维联合相参积累的空时频检测前聚焦(STF-FBD)雷达信号处理新理论和新方法。STF-FBD可有效抑制强杂波和有源干扰,克服尺度伸缩、孔径渡越、稀疏子带、跨距离、跨多普勒和跨波束等效应,显著提高能量积累、目标检测、参数测量、机动跟踪、特征提取和目标识别等环节的处理性能,并取得明显超越现有检测前跟踪(TBD)方法的性能,形成STF-FBD和STF-FBD-TBD的理论框架和技术体系。该文方法不仅适用于高速高机动隐身目标也适用于常规雷达目标,不仅适用于新体制雷达也适用于常规体制雷达,在诸多领域具有广阔的应用前景。
針對複雜電磁環境中現代雷達對高速、高機動、隱身目標探測的迫切需求,該文基于空時頻域信號建模,提齣多維聯閤相參積纍的空時頻檢測前聚焦(STF-FBD)雷達信號處理新理論和新方法。STF-FBD可有效抑製彊雜波和有源榦擾,剋服呎度伸縮、孔徑渡越、稀疏子帶、跨距離、跨多普勒和跨波束等效應,顯著提高能量積纍、目標檢測、參數測量、機動跟蹤、特徵提取和目標識彆等環節的處理性能,併取得明顯超越現有檢測前跟蹤(TBD)方法的性能,形成STF-FBD和STF-FBD-TBD的理論框架和技術體繫。該文方法不僅適用于高速高機動隱身目標也適用于常規雷達目標,不僅適用于新體製雷達也適用于常規體製雷達,在諸多領域具有廣闊的應用前景。
침대복잡전자배경중현대뢰체대고속、고궤동、은신목표탐측적박절수구,해문기우공시빈역신호건모,제출다유연합상삼적루적공시빈검측전취초(STF-FBD)뢰체신호처리신이론화신방법。STF-FBD가유효억제강잡파화유원간우,극복척도신축、공경도월、희소자대、과거리、과다보륵화과파속등효응,현저제고능량적루、목표검측、삼수측량、궤동근종、특정제취화목표식별등배절적처이성능,병취득명현초월현유검측전근종(TBD)방법적성능,형성STF-FBD화STF-FBD-TBD적이론광가화기술체계。해문방법불부괄용우고속고궤동은신목표야괄용우상규뢰체목표,불부괄용우신체제뢰체야괄용우상규체제뢰체,재제다영역구유엄활적응용전경。
For the high-speed, high-maneuverability and stealthy target detection via modern radar in complicated electromagnetic environment, a novel radar signal processing approach called Space-Time-Frequency Focus-Before-Detection (STF-FBD) via multi-dimensional coherent integration is proposed. Based on space-time-frequency signal modeling for modern radar systems, the proposed method can effectively suppress the strong interference, such as clutter and active jamming, and overcome the problems of scaled effect of high-speed targets, aperture fill time, sparse frequency sub-band synthesis, across range units, across Doppler units and across beam units. The proposed methods improves radar signal processing performance on the steps like energy integration, target detection, parameter estimation, maneuver tracking, feature extraction and target recognition. It also outperforms the existing Track-Before-Detection (TBD) methods and establish a unified STF-FBD and STF-FBD-TBD radar signal processing frame work. The proposed method is suitable for high-speed, high-maneuverability and stealthy target, as well as for conventional targets. It is applicable for new-generation modern radar, as well as for conventional radars, and may find application to different field.