%0 Conference Paper %1 Skvortsov2013 %A Skvortsov, V. %A Lee, Keun Myoung %B Emerging Technologies for a Smarter World (CEWIT), 2013 10th International Conference and Expo on %D 2013 %K analysis;indoor analysis;radar antennas;Radar barrier;performance clutter;Radar data detection detection;Radar detection;virtual environment environment;data fence;Clutter;Java;Object indoor network node operation;remote processing processing;remote radar;cluttered security;invisible sensing;signal sensing;video signal surveillance;automotive system;target techniques;surveillance visualisation;radar visualization;inexpensive %P 1-6 %R 10.1109/CEWIT.2013.6713764 %T Radar network node: Performance analysis and visualization in indoor environment %X We present a performance evaluation of the inexpensive security or surveillance system. The system consists of a radar network that creates a virtual fence or invisible barrier. The main focus of this paper is on testing a prototype of the radar network node hardware and software in a cluttered indoor environment. The radar network node operation is a combination of remote sensing by commercially available automotive radar and signal processing techniques for target detection. The goal is to explore the limits of current technology and perform an analysis of the post-processing techniques for target detection and localization. A basic idea of the detection is a comparison between current signal `image' stored in memory and `no-intrusion' reference signal. We investigate how to deal with the challenging problem of signal processing when multipath clutter signals may exceed a level of target signals, and a clutter rejection technique. The developed software with flexible scripting capabilities dramatically simplifies the testing and data analysis. Various experimental measurements show the performance of the radar in range estimation, efficiency of the post-processing algorithms and open up new possibilities for future improvements.

@inproceedings{Skvortsov2013, abstract = {We present a performance evaluation of the inexpensive security or surveillance system. The system consists of a radar network that creates a virtual fence or invisible barrier. The main focus of this paper is on testing a prototype of the radar network node hardware and software in a cluttered indoor environment. The radar network node operation is a combination of remote sensing by commercially available automotive radar and signal processing techniques for target detection. The goal is to explore the limits of current technology and perform an analysis of the post-processing techniques for target detection and localization. A basic idea of the detection is a comparison between current signal `image' stored in memory and `no-intrusion' reference signal. We investigate how to deal with the challenging problem of signal processing when multipath clutter signals may exceed a level of target signals, and a clutter rejection technique. The developed software with flexible scripting capabilities dramatically simplifies the testing and data analysis. Various experimental measurements show the performance of the radar in range estimation, efficiency of the post-processing algorithms and open up new possibilities for future improvements.}, added-at = {2015-05-19T04:26:01.000+0200}, author = {Skvortsov, V. and Lee, Keun Myoung}, biburl = {https://www.bibsonomy.org/bibtex/2c89a09eb346811761d72f7b79bce7c00/starlinq}, booktitle = {Emerging Technologies for a Smarter World (CEWIT), 2013 10th International Conference and Expo on}, doi = {10.1109/CEWIT.2013.6713764}, interhash = {c29ce4ea37ed9ee8503ef46c8e1eb63e}, intrahash = {c89a09eb346811761d72f7b79bce7c00}, keywords = {analysis;indoor analysis;radar antennas;Radar barrier;performance clutter;Radar data detection detection;Radar detection;virtual environment environment;data fence;Clutter;Java;Object indoor network node operation;remote processing processing;remote radar;cluttered security;invisible sensing;signal sensing;video signal surveillance;automotive system;target techniques;surveillance visualisation;radar visualization;inexpensive}, month = Oct, owner = {Vladimir}, pages = {1-6}, timestamp = {2015-05-19T04:27:27.000+0200}, title = {Radar network node: Performance analysis and visualization in indoor environment}, year = 2013 }