检索结果-内蒙古大学图书馆

space-time adaptive processing for Airborne Radars With space-time Coprime Sampling Structure

IEEE ACCESS 2018年 6卷 20031-20046页

作者： Wang, Xiaoye Yang, Zhaocheng Huang, Huiping Huang, Jianjun Jiang, Mei Shenzhen Univ Coll Informat Engn Shenzhen 518060 Peoples R China

Coprime arrays and coprime time samplers have been receiving attractive attention recently due to their advantages of large apertures and achievable degrees of freedom with low cost. In this paper, different from traditional airborne radar with uniform transmitting pulses, the considered radar is configured with a coprime array in receiver and transmits the pulses with coprime repetition intervals. Because this sampling structure violates the conditions of the conventional clutter rank estimation rules, we first propose a novel method to estimate the clutter rank based on effective aperture-bandwidth product. Then, two space-time adaptive processing (STAP) algorithms, namely, the sample matrix inverse- and principal components-STAP, are proposed by using the reconstructed virtual space-time snapshots. Additionally, a thoroughly theoretical convergence analysis of the proposed algorithms is conducted. Exclusive simulation results are provided to demonstrate the effectiveness of the proposed STAP algorithms.

关键词： space-time adaptive processing space-time coprime sampling clutter rank estimation convergence analysis clutter suppression

来源：评论

学校读者我要写书评

暂无评论

space-time adaptive processing algorithm based on hyper beamforming for ionospheric clutter suppression in small-array high-frequency surface wave radar

引用

IET RADAR SONAR AND NAVIGATION 2023年第4期17卷 545-555页

作者： Li, Jiaming Yang, Qiang Zhang, Xin Harbin Inst Technol Sch Elect & Informat Engn Harbin 150001 Peoples R China

Small-array high-frequency surface wave radar (HFSWR) is widely used to monitor maritime targets as it can be used to save on-land resources. In small-array HFSWR systems, the main lobe of the receiving angle spectrum is significantly broadened. In complex clutter backgrounds, an extremely wide beam severely influences clutter suppression performance;consequently, targets with a low signal-to-clutter ratio (SCR) may be eliminated, or the angle may be barely estimated. This study proposes a space-time adaptive processing (STAP) algorithm based on hyper beamforming (HBF) to improve the clutter suppression performance of small-array HFSWR. In addition, HBF can obtain more independent identical distributed training samples than the conventional beamforming;thus, the STAP algorithm can extract the clutter information with high accuracy in the covariance matrix estimation. Moreover, this study combines an efficient STAP algorithm with a joint domain localised (JDL) algorithm to improve clutter suppression. Based on the experimental results, the proposed HBF-JDL algorithm performs satisfactorily and significantly improves the SCR. Moreover, HBF-JDL is still applicable at lower SCRs of the target compared with JDL.

关键词： high-frequency surface wave radar hyper beamforming ionospheric clutter small-array space-time adaptive processing

来源：评论

学校读者我要写书评

暂无评论

space-time adaptive processing for manoeuvring airborne radar

引用

ELECTRONICS & COMMUNICATION ENGINEERING JOURNAL 1999年第1期11卷 57-63页

作者： Richardson, PG DERA Malvern Malvern WR14 3PS Worcs England

space-time adaptive processing (STAP) techniques provide simultaneous rejection of jamming and clutter in airborne radar. Greatest benefits over conventional MTI (moving target indication) approaches are in terms of a capability to detect slow-moving targets which possess the same Doppler frequency as mainlobe clutter returns. This paper examines the effects of platform manoeuvre on STAP clutter and jamming rejection performance for a forward-facing array (i.e. where the array is orientated transversally to the direction of travel). It is shown that STAP slow-target detection performance is not sensitive to the radar platform orientation. It is also demonstrated that, under conditions of manoeuvre, STAP can provide better jammer rejection performance than architectures which cascade conventional clutter filtering and spatial adaptive beamforming.

关键词： Electromagnetic compatibility and interference clutter filtering mainlobe clutter returns radar signal processing slow-target detection performance space-time adaptive processing adaptive radar STAP radar platform orientation moving target indication interference suppression Doppler frequency radar clutter airborne radar jamming jamming rejection radar detection radar antennas adaptive antenna arrays slow-moving targets detection Signal detection manoeuvring airborne radar spatial adaptive beamforming forward-facing array MTI clutter rejection Radar theory

来源：评论

学校读者我要写书评

暂无评论

space-time adaptive processing-based algorithm for meteor trail suppression in high-frequency surface wave radar

引用

IET RADAR SONAR AND NAVIGATION 2015年第4期9卷 429-436页

作者： Zhang Xin Su Yanhua Yang Qiang Dong Yingning Deng Weibo Harbin Inst Technol Sch Elect Informat Engn Harbin 150006 Hei Longjiang Peoples R China Fourth Dept Headquarters Navy Beijing 100841 Peoples R China

Meteor trail arises as a result of meteorites burning in the Earth's atmosphere at far altitudes with the characteristics of short lifetime and the ability of scattering high-frequency (HF) signal. It is a classical universal interference for high-frequency surface wave radar, which can provide the capabilities of target monitoring and ocean remote sensing by working on HF band. In this study, the authors propose the superiorities of utilising the space-time adaptive processing-based algorithm for meteor trail suppression. They modify the calculation of the covariance matrix based on the distribution and characteristics of meteor trail aiming to fit for meteor trail better. Finally, they verify the effectiveness of the modified algorithm by measured data. The results show that the modified algorithm can not only detect targets better, but can also make Bragg lines buried in meteor trail visible.

关键词： meteorological radar space-time adaptive processing-based algorithm covariance matrix covariance matrices Earth atmosphere classical universal interference space-time adaptive processing Bragg lines meteor trail suppression Algebra Radar equipment, systems and applications Signal processing and detection high-frequency surface wave radar HF band

来源：评论

学校读者我要写书评

暂无评论

space-time adaptive processing for airborne radar with various array orientations

引用

IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION 1997年第6期144卷 330-340页

作者： Wang, YL Peng, YN Bao, Z Tsing Hua Univ Dept Elect Engn Div Signal Detect & Proc Beijing 100084 Peoples R China Xidian Univ Inst Elect Engn Xian 710071 Peoples R China

space-time adaptive processing (STAP) is a crucial technique for the new generation airborne radar with high air-to-ground performance. The authors study this technique applied to airborne early warning (AEW) radars with various array orientations, which include the sideways looking array radar (SLAR) and non-sideways looking array radar. First, the ground clutter is characterised by showing the angular-Doppler spectra and Doppler-range relation for various array orientations. Secondly, the impact of various array configurations and pulse repetition frequencies (PRFs) on the STAP performance by the use of a multiple Doppler channels joint adaptive processing (M-CAP) approach is analysed. Thirdly, a 3-Doppler-channel processing scheme, in coordination with the various PRF modes, is recommended to solve the STAP problem for practical AEW radars with various array orientations. Finally, some examples are given by simulation to show the performances of the 3-Doppler-channel processing scheme for various cases of interest and to validate the theoretical analysis.

关键词： space-time adaptive processing airborne radar clutter suppression

来源：评论

学校读者我要写书评

暂无评论

space-time adaptive processing by enforcing sparse constraint on beam-Doppler patterns

引用

ELECTRONICS LETTERS 2017年第17期53卷 1220-1222页

作者： Yang, Zhaocheng Shenzhen Univ Coll Informat Engn Guangzhou 518060 Guangdong Peoples R China

In this Letter, the author proposes a novel space-time adaptive processing (STAP) algorithm by enforcing sparse constraint on the beam-Doppler patterns for clutter mitigation when the number of training data is limited. By exploiting the sparsity of the beam-Doppler patterns of the STAP filter, the proposed algorithm formulates the filter design as a mixed l(2)-norm and l(1)-norm minimisation problem. Moreover, the proposed algorithm develops an adaptive approach to update the regularisation parameter. Simulation results illustrate that the proposed algorithm outperforms the traditional STAP algorithms in a limited sample support.

关键词： space-time adaptive processing clutter filtering theory minimisation space-time adaptive processing sparse constraint beam-Doppler patterns STAP algorithm filter design minimisation regularisation parameter

来源：评论

学校读者我要写书评

暂无评论

space-time adaptive processing algorithm for airborne MIMO radar with nonside-looking array using temporally correlated multiple sparse Bayesian learning

引用

JOURNAL OF APPLIED REMOTE SENSING 2017年第1期11卷

作者： Liu, Hanwei Zhang, Yongshun Guo, Yiduo Wang, Qiang Air Force Engn Univ Air & Missile Def Coll Xian Peoples R China

The near-range clutter of airborne nonside-looking array greatly depends on range. Conventional phased-array space-time adaptive processing (STAP) radar suffers severe performance degradation in the presence of a near-range clutter scenario. To efficiently suppress no-stationary clutter with only one snapshot, an STAP algorithm for airborne multiple-input multiple-output (MIMO) radar with nonside-looking array based on sparse representation is first presented, which is referred to as MIMOSR-STAP in this paper. By exploiting the waveform diversity of MIMO radar, each snapshot of a tested range-cell is transformed into the multisnapshots of phased array radar, which are used to estimate the high-resolution space-time spectrum with multiple measurement vectors technique. The proposed approach is effective in estimating the spectrum by utilizing temporally correlated multiple sparse Bayesian learning. In the sequel, the clutter covariance matrix and corresponding adaptive weight vector are efficiently obtained. MIMOSR-STAP enjoys high accuracy and robustness so that it achieves better performance of output signal-to-clutter-plus-noise-ratio and minimum detectable velocity than the single measurement vector sparse representation methods in the literature. Thus, MIMOSR-STAP performs well in a serious nonstationary clutter scenario and is suitable for an insufficient independent and identically distributed samples environment. (C) 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)

关键词： multiple-input-multiple-output radar space-time adaptive processing sparse representation temporally correlated multiple sparse Bayesian learning

来源：评论

学校读者我要写书评

暂无评论

space-time adaptive processing using circular arrays

引用

IEEE ANTENNAS AND PROPAGATION MAGAZINE 2001年第1期43卷 138-143页

作者： Sarkar, TK Adve, R Syracuse Univ Dept Comp Sci & Elect Engn Syracuse NY 13244 USA

A direct data-domain (D-3) least-squares space-time adaptive-processing (STAP) approach is presented for adaptively enhancing signals in a non-homogeneous environment of jammers, clutter, and thermal noise, utilizing a circular antenna array. The non-homogeneous environment may consist of non-stationary clutter, The D3 approach is applied directly to the data collected by a circular antenna array (utilizing space), and in time (Doppler) diversity. Conventional STAP generally utilizes statistical methodologies, based on estimating a covariance matrix of the interference, using the data from various range cells of the circular array and assuming that it is a uniform linear array. However, for highly transient and inhomogeneous environments, the conventional statistical methodology may be difficult to apply. Moreover, the error in forming the covariance matrix by assuming that the data collected by the circular array is assumed to be a uniform linear array is highly problem dependent. Hence the D-3 method is presented, as it analyzes the data in space and time over each range cell separately. However, it treats the antenna array as circular, i.e., it deals with the antenna structure in its proper form, Limited examples are presented to illustrate the application of this approach.

关键词： adaptive arrays adaptive signal processing adaptive radar space-time adaptive processing circular arrays direct data domain method least squares methods

来源：评论

学校读者我要写书评

暂无评论

space-time adaptive processing for phased-multiple-input-multiple-output radar in the non-homogeneous clutter environment

引用

IET RADAR SONAR AND NAVIGATION 2014年第6期8卷 585-596页

作者： Ahmadi, Moein Mohamed-pour, Kamal KN Toosi Univ Technol Dept Elect Engn Tehran Iran

This study presents some new methods for space-time adaptive processing for airborne multiple-input-multiple-output (MIMO) radar with co-located antennas in the non-homogeneous environment. The presented signal model is a general model for airborne phased-MIMO radar which can easily switch between conventional phased-array radar and MIMO radar to enjoy the advantages of the MIMO radar without sacrificing the main advantage of the phased-array radar which is the coherent processing gain at the transmitting side. In the non-homogeneous environment, the training data with the same statistical interference characteristics is not available to estimate interference covariance matrix, the authors present two space-time adaptive processing (STAP) approaches. The first one is based on the orthogonal projection on the clutter subspace which is applicable for known clutter signature scenarios. The matrix which describes the signature of ground clutter for airborne phased-MIMO radar is derived. For unknown clutter subspace, they propose the deterministic phased-MIMO STAP (also known as direct data domain approach) which suppresses the interference signal without the requirement for an interference covariance matrix. The parameters of deterministic phased-MIMO STAP are determined to maximise the degree of freedoms. Simulations are provided to demonstrate the performance of the proposed STAP approaches in the non-homogeneous environments.

关键词： Electromagnetic compatibility and interference ground clutter statistical interference characteristics orthogonal projection phased-array radar clutter signature nonhomogeneous clutter environment airborne multiple-inputâ€“multiple-output radar Signal processing and detection interference signal phased array radar radiofrequency interference Algebra Radar equipment, systems and applications airborne phased-MIMO radar clutter subspace co-located antennas covariance matrices space-time adaptive processing phased-multiple-inputâ€“multiple-output radar interference covariance matrix deterministic phased-MIMO STAP radar clutter nonhomogeneous environment airborne radar MIMO radar

来源：评论

学校读者我要写书评

暂无评论

space-time adaptive processing FOR CLUTTER SUPPRESSION IN COPRIME ARRAY AND COPRIME PULSE REPETITION INTERVAL AIRBORNE RADAR 25

SPACE-TIME ADAPTIVE PROCESSING FOR CLUTTER SUPPRESSION IN CO...

引用

International Symposium on Intelligent Signal processing and Communication Systems (ISPACS)

作者： Wang, Xiaoye Yang, Zhaocheng Huang, Jianjun Shenzhen Univ Coll Informat Engn Shenzhen 518060 Peoples R China

ISBN: (纸本)9781538621592

This paper develops two novel space-time adaptive processing (STAP) filters for clutter suppression in airborne radar with the coprime space-time sampling, which is realized by the coprime array and coprime pulse repetition interval (PRI). Different from the conventional STAP filters, the proposed STAP filters are derived by three steps. Firstly, a virtual space-time snapshot is constructed using the property of the coprime sampling. Secondly, an equivalent covariance matrix with enhanced degrees of freedom is computed by using spatial-temporal smoothing approach. Thirdly, two optimal STAP filters are derived based on the estimated covariance matrix. Simulations are conducted to validate the effectiveness of the proposed filters.

关键词： space-time adaptive processing clutter suppression coprime array and coprime pulse repetition interval spatial smoothing

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：