Sparse multi-target localization using cooperative access points

2012 ◽  
Author(s):  
Hadi Jamali-Rad ◽  
Hamid Ramezani ◽  
Geert Leus
Keyword(s):  
Target Localization ◽  
Access Points

Cardiological Biopharmaceuticals in the Conception of Drug Targeting Delivery: Practical Results and Research Perspectives

Acta Naturae ◽  
2012 ◽  
Vol 4 (3) ◽  
pp. 72-81 ◽  
Author(s):  
A. V. Maksimenko
Keyword(s):  
Cell Adhesion Molecules ◽  
Drug Targeting ◽  
Interventional Procedures ◽  
Target Localization ◽  
Clinical Use ◽  
Protein Conjugates ◽  
Research Perspectives ◽  
Significant Interest ◽  
Targeting Delivery ◽  
Molecular Sizes

The results of the clinical use of thrombolytic and antithrombotic preparations developed on the basis of protein conjugates obtained within the framework of the conception of drug targeting delivery in the organism are considered. A decrease has been noted in the number of biomedical projects focused on these derivatives as a result of various factors: the significant depletion of financial and organizational funds, the saturation of the pharmaceutical market with preparations of this kind, and the appearance of original means for interventional procedures. Factors that actively facilitate the conspicuous potentiation of the efficacy of bioconjugates were revealed: the biomedical testing of protein domains and their selected combinations, the optimization of molecular sizes for the bioconjugates obtained, the density of target localization, the application of cell adhesion molecules as targets, and the application of connected enzyme activities. Enzyme antioxidants and the opportunity for further elaboration of the drug delivery conception via the elucidation and formation of therapeutic targets for effective drug reactions by means of pharmacological pre- and postconditioning of myocardium arouse significant interest.

Decentralized target localization by multiple missiles

2009 ◽  
Author(s):  
Daekyu Sang ◽  
Chang-Kyung Ryoo ◽  
Hyoun Jin Kim ◽  
Min-Jae Tahk
Keyword(s):  
Target Localization ◽  
Multiple Missiles

Target Localization and Identification Algorithm for Ultra Wideband Through-wall Radar

2010 ◽  
Vol 32 (11) ◽  
pp. 2624-2629 ◽  
Author(s):  
Shi-you Wu ◽  
Qiong Huang ◽  
Jie Chen ◽  
Sheng-wei Meng ◽  
Guang-you Fang ◽  
...  
Keyword(s):  
Target Localization ◽  
Ultra Wideband ◽  
Identification Algorithm

Adaptive Integration of Head-Coupled Multi-Sensory Displays for Target Localization

2000 ◽  
Author(s):  
Robert S. Tannen ◽  
W. T. Nelson ◽  
Robert S. Bolia ◽  
Michael W. Haas ◽  
Lawrence J. Hettinger
Keyword(s):  
Target Localization ◽  
Adaptive Integration

scholarly journals Fast Target Localization Method for FMCW MIMO Radar via VDSR Neural Network

2021 ◽  
Vol 13 (10) ◽  
pp. 1956
Author(s):  
Jingyu Cong ◽  
Xianpeng Wang ◽  
Xiang Lan ◽  
Mengxing Huang ◽  
Liangtian Wan
Keyword(s):  
Neural Network ◽  
Continuous Wave ◽  
Super Resolution ◽  
Mimo Radar ◽  
Target Localization ◽  
Estimation Accuracy ◽  
Low Resolution ◽  
Range Estimation ◽  
Resolution Image ◽  
Resolution Imaging

The traditional frequency-modulated continuous wave (FMCW) multiple-input multiple-output (MIMO) radar two-dimensional (2D) super-resolution (SR) estimation algorithm for target localization has high computational complexity, which runs counter to the increasing demand for real-time radar imaging. In this paper, a fast joint direction-of-arrival (DOA) and range estimation framework for target localization is proposed; it utilizes a very deep super-resolution (VDSR) neural network (NN) framework to accelerate the imaging process while ensuring estimation accuracy. Firstly, we propose a fast low-resolution imaging algorithm based on the Nystrom method. The approximate signal subspace matrix is obtained from partial data, and low-resolution imaging is performed on a low-density grid. Then, the bicubic interpolation algorithm is used to expand the low-resolution image to the desired dimensions. Next, the deep SR network is used to obtain the high-resolution image, and the final joint DOA and range estimation is achieved based on the reconstructed image. Simulations and experiments were carried out to validate the computational efficiency and effectiveness of the proposed framework.

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