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Because of the wide application and great market potential of location-aware services, the research of wireless location techniques for the fourth generation (4G) mobile communications is being paid more attention. Wireless cognitive location (WCL) techniques for next generation wireless networks have been proposed in recent years. This article investigates the changes of the positioning accuracy of WCL algorithm when different methods are adopted to measure the short-range (SR) information. By first completing Cramér-Rao lower bound (CRLB) analysis of the WCL algorithm with SR measurements based on time of arrival (TOA) and received signal strength (RSS), it is discovered that TOA-based or time difference of arrival (TDOA) -based SR measurement can make WCL algorithms achieve higher accuracy than RSS mode, which is also verified by numerical simulation in the article. The conclusions can instruct the design of novel WCL-based location algorithms.
Because of the wide application and great market potential of location-aware services, the research of wireless location techniques for the fourth generation (4G) mobile communications is being paid more attention. Wireless cognitive location (WCL) techniques for next generation wireless networks have been This article investigates the changes of the positioning accuracy of WCL algorithm when different methods are measured to measure the short-range (SR) information. By first completing Cramér-Rao lower bound (CRLB) analysis of the WCL algorithm with SR measurements based on time of arrival (TOA) and received signal strength (RSS), it is discovered that TOA-based or time difference of arrival (TDOA) -based SR measurement can make WCL algorithms achieve higher accuracy than RSS mode, which is also verified by numerical simulation in the article. The conclusions can instruct the design of novel WCL-based location algorithms.