Title :
A RRNS based robust ranging algorithm with RIPS measurements
Author :
Chaowen Liu ; Wenjie Wang ; Feilong Wu
Author_Institution :
Key Lab. for Intell. Networks & Network Security, Xi´an Jiaotong Univ., Xi´an, China
Abstract :
Owing to its closed-form and ambiguity-resolving capability, the Chinese Remainder Theorem (CRT) has been applied recently into the Radio Interferometric Positioning System (RIPS) to get a robust range estimation. Although the existing robust CRT based ranging algorithms can resist the remainder errors to an acceptable level, they merely take advantage of the redundancy of common divisor. And there is still another kind of redundancy, named remainder number redundancy, ready to be utilized. In this contribution, after having the ranging problem formulated, then the discussion and extending works presented, an opportunistic selecting of moduli based ranging algorithm (OSRA) is proposed. The comparison figures in the simulation part corroborate that both kinds of above-mentioned redundancy are well exploited by our novel proposal in enhancing the ranging performance.
Keywords :
interferometry; radionavigation; residue number systems; Chinese remainder theorem; OSRA; RIPS measurements; RRNS based robust ranging algorithm; ambiguity-resolving capability; closed-form capability; common divisor redundancy; moduli based ranging algorithm; named remainder number redundancy; radio interferometric positioning system; redundant residue number system; robust CRT based ranging algorithms; robust range estimation; Abstracts; Boolean functions; Data structures; Educational institutions; Chinese Remainder Theorem (CRT); Radio Interferometric Positioning System (RIPS); Ranging; opportunistic selecting of moduli; redundancy;
Conference_Titel :
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2188-1
DOI :
10.1109/ICOSP.2014.7015386