Mr. Bhargav Kalgikar Profile

Bhargav Kalgikar

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Proceedings Article | 28 January 2010 Paper

A signal strength priority based position estimation for mobile platforms

Bhargav Kalgikar, David Akopian, Philip Chen

Proceedings Volume 7542, 75420F (2010) https://doi.org/10.1117/12.839554

KEYWORDS: Received signal strength, Databases, Global Positioning System, Java, Cell phones, Distance measurement, Satellites, Receivers, Buildings, Mobile devices

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Global Positioning System (GPS) products help to navigate while driving, hiking, boating, and flying. GPS uses a combination of orbiting satellites to determine position coordinates. This works great in most outdoor areas, but the satellite signals are not strong enough to penetrate inside most indoor environments. As a result, a new strain of indoor positioning technologies that make use of 802.11 wireless LANs (WLAN) is beginning to appear on the market. In WLAN positioning the system either monitors propagation delays between wireless access points and wireless device users to apply trilateration techniques or it maintains the database of location-specific signal fingerprints which is used to identify the most likely match of incoming signal data with those preliminary surveyed and saved in the database. In this paper we investigate the issue of deploying WLAN positioning software on mobile platforms with typically limited computational resources. We suggest a novel received signal strength rank order based location estimation system to reduce computational loads with a robust performance. The proposed system performance is compared to conventional approaches.

Proceedings Article | 5 May 2009 Paper

Integrity monitoring in WLAN positioning systems

Sri Phani Yerubandi, Bhargav Kalgikar, Maheedhar Gunturu, David Akopian, Philip Chen

Proceedings Volume 7351, 735109 (2009) https://doi.org/10.1117/12.818338

KEYWORDS: Databases, Global Positioning System, Data modeling, Cell phones, Received signal strength, Buildings, Detection and tracking algorithms, Java, Standards development, Time metrology

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Indoor Positioning Systems using WLANs have become very popular in recent years. These systems are spawning a new class of applications like activity recognition, surveillance, context aware computing and location based services. While Global Positioning System (GPS) is the natural choice for providing navigation in outdoor environment, the urban environment places a significant challenge for positioning using GPS. The GPS signals can be significantly attenuated, and often completely blocked, inside buildings or in urban canyons. As the performance of GPS in indoor environments is not satisfactory, indoor positioning systems based on location fingerprinting of WLANs is being suggested as a viable alternative. The Indoor WLAN Positioning Systems suffer from several phenomena. One of the problems is the continual availability of access points, which directly affects the positioning accuracy. Integrity monitoring of WLAN localization, which computes WLAN positioning with different sets of access points is proposed as a solution for this problem. The positioning accuracy will be adequate for the sets which do not contain faulty or the access points which are offline, while the sets with such access points will fail and they will report random and inaccurate results. The proposed method identifies proper sets and identifies the rogue access points using prediction trajectories. The combination of prediction and correct access point set selection provides a more accurate result. This paper discusses about integrity monitoring method for WLAN devices and followed by how it monitors and developing the application on mobile platforms.

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