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Design and Performance of a Minimum-Variance Hybrid Location Algorithm Utilizing GPS and Cellular Received Signal Strength for Positioning in Dense Urban Environments
Design Performance Minimum-Variance Hybrid Location Algorithm GPS and Cellular Received Positioning in Dense Environments
2015/6/25
This paper shows how the complementary advantages of GPS and cellular received signal strength (RSS) positioning methods improves hybrid location estimation performance in dense urban environments. In...
Slow Adaptive M-QAM under Third-Party Received Signal Constraints in Shadowing Environments
Slow Adaptive M-QAM Third-Party Received Signal Constraints Shadowing Environments
2009/9/4
Motivated by recent interest in dynamic spectrum sharing between primary and secondary spectrum users, we investigate slow adaptive quadrature amplitude modulation (QAM) under third-party received pow...