欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
随着压缩感知理论的兴起和发展，基于空时功率谱稀疏性的空时自适应处理（STAP ）技术受到越来越广泛的关注。本文首先简单回顾了空时自适应处理技术的传统方法，接着从三个不同角度分析了空时功率谱的稀疏性并探讨了基于空时功率谱稀疏性的STAP技术的潜在优势，然后总结了基于空时功率谱稀疏性STAP基本原理和三种实现方式，根据稀疏支撑集先验信息知晓情况对现有基于空时功率谱稀疏性的STAP方法进行了分类，包括：基于阵列流形知识的STAP技术、基于空时功率谱稀疏恢复的STAP技术以及基于阵列流形知识和空时功率谱稀疏恢复的STAP技术，并对其研究现状进行了综述。最后在已有研究的基础上，着眼于提高杂波抑制和运动目标检测能力的发展需要，提出了未来该技术需要重点解决和关注的若干问题，包括稀疏性的本质机理分析、空时导向字典的设计、参数设置简单，快速和低复杂度算法设计、对模型误差稳健的算法设计、多种先验知识融合的基于空时功率谱稀疏性的STAP算法设计、基于空时功率谱稀疏性STAP方法的恒虚警检测器设计以及实测数据验证等方面。
英文摘要：
With the development of compressive sensing theory ,the space-time adaptive processing （STAP ） technology based on sparsity of space-time power spectrum （STPS） receives a growing interest .This paper firstly reviews the traditional STAP algorithms and shows analysis of sparsity of STPS from three different points of view and potential advantages of STAP technology based on sparsity of STPS .Then ,the current developed STAP algorithms based on sparsity of STPS are categorized into three class-es ,such as STAP based on prior knowledge of array manifold ,STAP based on sparse recovery of STPS and STAP based on both prior knowledge of array manifold and sparse recovery of STPS .It also performs an overview of those algorithms .Finally ,based on the progress of the existing research ,some key issues to enhance the performance of clutter suppression and moving target detection are introduced ,which include intrinsic mechanism analysis of sparsity ,space-time steering dictionary design ,easy parameters setting , fast and low complexity algorithms design ,robust algorithm design ,STAP algorithms based on sparse recovery of STPS design by exploiting different types of prior knowledge ,and constant false alarm rate detector design of STAP based on sparsity of STPS and validation using measurement data .
同期刊论文项目
同项目期刊论文
Scattering characteristics for cylindrical conductor with different surface micro-structure in terah
Electromagnetic scattering characteristic of aluminous targets in the terahertz and far infrared reg
Vibration Target Detection and Vibration Parameters Estimation based on the DPCA Technique in Dual-c
Discrete chirp-Fourier transform-based acquisition algorithm for weak global positioning system L5 s
Parameter Estimation of Radar Targets with Macro-Motion and Micro-Motion Based on Circular Correlati
Imaging and micro-Doppler analysis of vibrating target in multi-input-multi-output synthetic apertur
Sparsity-aware space-time adaptive processing algorithms with L1-norm regularisation for airborne ra
Performance bounds of direction finding and its applications for multiple-input multiple-output rada
Weighted average frequency algorithm for Hilbert-Huang spectrum and its application to micro-Doppler
High-speed Target ISAR Imaging via Compressed Sensing Based on Sparsity in Fractional Fourier Domain
Manifold studies on fundamental limits of direction-finding multiple-input multiple-output radar sys
Dynamic Compressed HRRP Generation for Random Stepped-Frequency Radar Based on Complex-Valued Fast S
ISAR imaging of multiple targets using particle swarm optimisation - adaptive joint time frequency a
Random finite sets-based joint manoeuvring target detection and tracking filter and its implementati
Effects of transmitting correlated waveforms for co-located multi-input multi-output radar with targ
Sparsity-aware space-time adaptive processing algorithms with L-1-norm regularisation for airborne r
Sparsity-based space-time adaptive processing using complex-valued Homotopy technique for airborne r
Effects on beam pattern performance for colocated multi-input multi-output radar transmitting correl
A Compact Methodology to Understand, Evaluate, and Predict the Performance of Automatic Target Recog
Power allocation for range-only localisation in distributed multiple-input multiple-output radar net
L-1-Regularized STAP Algorithms With a Generalized Sidelobe Canceler Architecture for Airborne Radar
Rotating parabolic-reflector antenna target in SAR data: Model, characteristics, and parameter estim
Wideband electromagnetic characteristics modeling and analysis of missile targets in ballistic midco
Target classification of ISAR images based on feature space optimisation of local non-negative matri
Pulse-repetition-interval transform-based vibrating target detection and estimation in synthetic ape
期刊信息
位置：