2014 IEEE Radar Conference最新文献

Ambiguity function of bipolar ultrawideband-throb signal 双极超宽带悸动信号的模糊函数

2014 IEEE Radar Conference Pub Date : 2014-08-14 DOI: 10.1109/RADAR.2014.6875618

M. Hussain

引用次数: 4

Multi-Bernoulli filter based track-before-detect for Jump Markov models 基于多伯努利滤波的跳跃马尔可夫模型检测前跟踪

2014 IEEE Radar Conference Pub Date : 2014-08-14 DOI: 10.1109/RADAR.2014.6875791

Suqi Li, Wei Yi, L. Kong, Bailu Wang

引用次数: 3

Amplitude and texture feature based SAR image classification with a two-stage approach 基于幅值和纹理特征的两阶段SAR图像分类

2014 IEEE Radar Conference Pub Date : 2014-08-14 DOI: 10.1109/RADAR.2014.6875615

Jilan Feng, Z. Cao, Y. Pi

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引用次数: 6

Compressed radar via Doppler focusing 通过多普勒聚焦压缩雷达

2014 IEEE Radar Conference Pub Date : 2014-08-14 DOI: 10.1109/RADAR.2014.6875580

Omer Bar-Ilan, Yonina C. Elda

{"title":"Compressed radar via Doppler focusing","authors":"Omer Bar-Ilan, Yonina C. Elda","doi":"10.1109/RADAR.2014.6875580","DOIUrl":"https://doi.org/10.1109/RADAR.2014.6875580","url":null,"abstract":"We investigate the problem of a monostatic pulse-Doppler radar transceiver trying to detect targets, sparsely populated in the radar's unambiguous time-frequency region. Several past works employ compressed sensing (CS) algorithms to this type of problem, but either do not address sample rate reduction, impose constraints on the radar transmitter, propose CS recovery methods with prohibitive dictionary size, or perform poorly in noisy conditions. Here we describe a sub-Nyquist sampling and recovery approach called Doppler focusing which performs low rate sampling and digital processing, imposes no restrictions on the transmitter, and uses a CS dictionary with size which does not increase with number of pulses P. Furthermore, in the presence of noise, Doppler focusing enjoys a signal-to-noise ratio (SNR) improvement which scales linearly with P, obtaining good detection performance even at SNR as low as - 25dB. It can easily incorporate clutter rejection capabilities, and handle targets with large dynamic range. The recovery is based on the Xampling framework, which allows sub-Nyquist analog-to-digital conversion. The entire digital recovery process is also performed at the low rate. Finally, our approach is implemented in hardware using a Xampling radar prototype.","PeriodicalId":127690,"journal":{"name":"2014 IEEE Radar Conference","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127034745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A robust sparse optimization for pattern synthesis with unknown manifold error 带有未知流形误差的模式综合鲁棒稀疏优化

2014 IEEE Radar Conference Pub Date : 2014-08-14 DOI: 10.1109/RADAR.2014.6875563

Jiazhou Liu, Zhiqin Zhao, Jinguo Wang, Q. Liu

引用次数: 2

Low-profile high-sensitivity sub-array module with HTS filters for an active phased array antenna 用于有源相控阵天线的具有高温超导滤波器的低轮廓高灵敏度子阵列模块

2014 IEEE Radar Conference Pub Date : 2014-08-14 DOI: 10.1109/RADAR.2014.6875567

H. Kayano, N. Shiokawa, K. Nakayama, T. Kawaguchi, T. Kumamoto, Mitsuyoshi Shinonaga

引用次数: 5

Subband cross-correlation processing with interference mitigation for passive bistatic radar 无源双基地雷达子带相互关处理与干扰抑制

2014 IEEE Radar Conference Pub Date : 2014-08-14 DOI: 10.1109/RADAR.2014.6875657

R. Takahashi, K. Hirata, A. Okamura

引用次数: 3

A novel random stepped frequency radar using chaos 一种基于混沌的随机阶跃频率雷达

2014 IEEE Radar Conference Pub Date : 2014-08-14 DOI: 10.1109/RADAR.2014.6875673

Yu Zhang, Wen Hu, Ling Wang, Lu Zhang

引用次数: 14

Transform sensing of phased array radar 相控阵雷达变换传感

2014 IEEE Radar Conference Pub Date : 2014-06-24 DOI: 10.1109/NAECON.2014.7045783

Siyang Cao, Yuan F. Zheng, R. Ewing

引用次数: 0

Virtual-bandwidth SAR (VB-SAR) for sub-surface imaging 用于地下成像的虚拟带宽SAR (VB-SAR)

2014 IEEE Radar Conference Pub Date : 2014-06-03 DOI: 10.1109/RADAR.2014.6875767

K. Morrison, J. Bennett

引用次数: 2