Multiuser Detection
Adjusted probabilistic route discovery in mobile ad hoc networks
Computers and Electrical Engineering
Exploiting mobility diversity in rate adaptive CDMA networks
Computers and Electrical Engineering
A grid-based dynamic load balancing approach for data-centric storage in wireless sensor networks
Computers and Electrical Engineering
GPS Civil Signal Self-Interference Mitigation During Weak Signal Acquisition
IEEE Transactions on Signal Processing
Mobile phone location determination and its impact on intelligent transportation systems
IEEE Transactions on Intelligent Transportation Systems
Blind adaptive multiuser detection
IEEE Transactions on Information Theory
Standardization of mobile phone positioning for 3G systems
IEEE Communications Magazine
IEEE Journal on Selected Areas in Communications
Self and static interference mitigation scheme for coexisting wireless networks
Computers and Electrical Engineering
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Localization based services rely on Global Positioning System (GPS) receivers embedded in the network nodes, but the satellite signal availability is often limited in indoors environment. Collaborative network-assisted GPS algorithms addressed this issue by communicating various assistance data between the nodes or transforming open-sky nodes into virtual GPS satellite transmitters (pseudolites). Even though such approach improves the coverage, the crosscorrelation problem surfaces due to masking of relatively weak available satellite signals by stronger pseudolites. This paper proposes reduced complexity algorithms to mitigate such a self-jamming (near/far) effect in ad hoc networks. The idea is based on adaptive modifications of dispreading GPS codes in receiver nodes to minimize interference caused by strong pseudolite signals. An optimization problem is formulated for the minimization of interference using mean squared error (MSE) as a cost function. Then computational optimization is achieved through adaptive implementation and parameterized dimension reduction of the optimization problem.