Shooter localization in urban terrain
Detecting and accurately locating snipers has been an elusive goal of the armed forces and law enforcement agencies for a long time. Most successful sniper-detecting systems are based on acoustic measurements. We develop an acoustic system that works well even in complex urban environments. Funded t...
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Veröffentlicht in: | Computer (Long Beach, Calif.) Calif.), 2004-08, Vol.37 (8), p.60-61 |
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creator | Maroti, M. Simon, G. Ledeczi, A. Sztipanovits, J. |
description | Detecting and accurately locating snipers has been an elusive goal of the armed forces and law enforcement agencies for a long time. Most successful sniper-detecting systems are based on acoustic measurements. We develop an acoustic system that works well even in complex urban environments. Funded through the Network Embedded Systems Technology program of the US Defense Advanced Research Projects Agency's Information Exploitation Office, the PinPtr system uses a wireless network of many low-cost sensors to determine both a shooter's location and the bullet's trajectory by measuring both the muzzle blast and the shock wave. The PinPtr sensor-fusion algorithm, which runs on a base station, performs a search on a hyper-surface defined by a consistency function. This function provides the number of sensor measurements that are consistent with hypothetical shooter positions and shot times. The algorithm automatically classifies measurements and eliminates those that result from multipath effects or are otherwise erroneous. A fast search algorithm finds the global maximum of the surface, which corresponds to the shooter position. |
doi_str_mv | 10.1109/MC.2004.104 |
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A fast search algorithm finds the global maximum of the surface, which corresponds to the shooter position.</description><subject>Acoustic measurements</subject><subject>Acoustic sensors</subject><subject>Acoustic signal detection</subject><subject>Algorithms</subject><subject>Base stations</subject><subject>Embedded system</subject><subject>Law enforcement</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Networks</subject><subject>Offices</subject><subject>Position (location)</subject><subject>Position measurement</subject><subject>Searching</subject><subject>Sensor systems</subject><subject>Sensors</subject><subject>Shock waves</subject><subject>Wireless sensor networks</subject><issn>0018-9162</issn><issn>1558-0814</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp90D1PwzAQBmALgUQpTIwsWYABpdzZjmuPKOJLasUAzJbjXERQmhQ7Heivx1WR2JjuXt2jG17GzhFmiGBul-WMA8gZgjxgEywKnYNGecgmAKhzg4ofs5MYP1OUuhATdvn6MQwjhawbvOvarRvboc_aPtuEyvVZugTX9qfsqHFdpLPfOWXvD_dv5VO-eHl8Lu8WuRcox7zWFWLRgFFOaYFUkUgbKud8zcGbxhQVr0mruQHPydXkpPTAfUW8LgSJKbve_12H4WtDcbSrNnrqOtfTsInWACo9xwKSvPpXcq0lKmESvNlDH4YYAzV2HdqVC98Wwe5Ks8vS7kpLWSZ9sdctEf1JwUXqT_wAiCBmqg</recordid><startdate>20040801</startdate><enddate>20040801</enddate><creator>Maroti, M.</creator><creator>Simon, G.</creator><creator>Ledeczi, A.</creator><creator>Sztipanovits, J.</creator><general>IEEE</general><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20040801</creationdate><title>Shooter localization in urban terrain</title><author>Maroti, M. ; Simon, G. ; Ledeczi, A. ; Sztipanovits, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c314t-d8b115f096a6831ebe36a616aacd20c9f95b2de86790c2eadea44c02cbe2d53e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Acoustic measurements</topic><topic>Acoustic sensors</topic><topic>Acoustic signal detection</topic><topic>Algorithms</topic><topic>Base stations</topic><topic>Embedded system</topic><topic>Law enforcement</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Networks</topic><topic>Offices</topic><topic>Position (location)</topic><topic>Position measurement</topic><topic>Searching</topic><topic>Sensor systems</topic><topic>Sensors</topic><topic>Shock waves</topic><topic>Wireless sensor networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Maroti, M.</creatorcontrib><creatorcontrib>Simon, G.</creatorcontrib><creatorcontrib>Ledeczi, A.</creatorcontrib><creatorcontrib>Sztipanovits, J.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>Computer (Long Beach, Calif.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Maroti, M.</au><au>Simon, G.</au><au>Ledeczi, A.</au><au>Sztipanovits, J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Shooter localization in urban terrain</atitle><jtitle>Computer (Long Beach, Calif.)</jtitle><stitle>MC</stitle><date>2004-08-01</date><risdate>2004</risdate><volume>37</volume><issue>8</issue><spage>60</spage><epage>61</epage><pages>60-61</pages><issn>0018-9162</issn><eissn>1558-0814</eissn><coden>CPTRB4</coden><abstract>Detecting and accurately locating snipers has been an elusive goal of the armed forces and law enforcement agencies for a long time. Most successful sniper-detecting systems are based on acoustic measurements. We develop an acoustic system that works well even in complex urban environments. Funded through the Network Embedded Systems Technology program of the US Defense Advanced Research Projects Agency's Information Exploitation Office, the PinPtr system uses a wireless network of many low-cost sensors to determine both a shooter's location and the bullet's trajectory by measuring both the muzzle blast and the shock wave. The PinPtr sensor-fusion algorithm, which runs on a base station, performs a search on a hyper-surface defined by a consistency function. This function provides the number of sensor measurements that are consistent with hypothetical shooter positions and shot times. The algorithm automatically classifies measurements and eliminates those that result from multipath effects or are otherwise erroneous. 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source | IEEE Electronic Library (IEL) |
subjects | Acoustic measurements Acoustic sensors Acoustic signal detection Algorithms Base stations Embedded system Law enforcement Mathematical analysis Mathematical models Networks Offices Position (location) Position measurement Searching Sensor systems Sensors Shock waves Wireless sensor networks |
title | Shooter localization in urban terrain |
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