Abstract—A new indoor ranging algorithm based on Root-Min-Norm with the NLOS identification ability was proposed in this paper. We adopt Root-Min-Norm algorithm to estimate the time of arrival and received signal strength intensity of the first path firstly, then use the Friis model to decide if the first path is DLOS or not, and only if the FP is the DLOS path, we can use the TOA of the FP to estimate the T-R distance. A lot of experiment work was carried out to test the performance of the algorithm based on actual frequency channel response measured by vector network analyzer E5071B. Our experiment results show that the algorithm can realize accurate ranging with the mean ranging error <0.6344m and the standard bias <0.7283m.

Index Terms—NLOS discrimination, ranging algorithm, TOA, Friis model.

Jing Li, Maoyong Cao, and Nongliang Sun are with the Qingdao Campus, Shandong University of Science and Technology, Qingdao, China (e-mail: lijing7261@sina.com, my_cao@263.net, nl-jackson@vip.163.com).
Liang Pei is with the Institute of Oceanographic Instrumentation, Shandong Academy of Sciences, Qingdao, China (e-mail: peiliang2002@163.com).

Cite:Jing Li, Liang Pei, Maoyong Cao, and Nongliang Sun, "A New Ranging Algorithm Based on NLOS Discrimination in Frequency Domain," International Journal of Computer and Communication Engineering vol. 4, no. 1, pp. 1-4, 2015.