Title :
Direct position determination of multiple radio signals
Author :
Amar, Alon ; Weiss, Anthony J.
Author_Institution :
Dept. of Electr. Eng., Tel Aviv Univ., Israel
Abstract :
The most common methods for localization of radio signal emitters are based on measuring a specified parameter such as signal angle-of-arrival (AOA) or time-of-arrival (TOA). The measured parameters are then used to estimate the transmitter location. Since the measurements are done at each base station independently, without using the constraint that all AOA/TOA estimates must correspond to the same transmitter, they are sub-optimal. Moreover, if the number of array elements at each base station is M, the number of cochannel simultaneous transmitters that can be localized is M-1. We propose a technique that uses exactly the same data as the common AOA/TOA methods, but the position determination is direct. The proposed method can handle LM-1 cochannel simultaneous signals, using L base stations. Although there are many stray parameters, only a two-dimensional search is required for a planar geometry and a three-dimensional search for the general case. The technique exploits the principles of the MUSIC algorithm, and provides a natural solution to the measurements-sources association problem that is encountered in AOA/TOA based systems.
Keywords :
array signal processing; cellular radio; direction-of-arrival estimation; search problems; signal classification; AOA estimation; MUSIC algorithm; TOA estimation; cellular phone location; cochannel simultaneous transmitters; direct position determination; measurements-sources association; multiple radio signals; signal angle-of-arrival; signal time-of-arrival; three-dimensional search; transmitter location estimation; two-dimensional search; Array signal processing; Base stations; Cellular phones; Geometry; Maximum likelihood estimation; Multiple signal classification; Radio transmitters; Sensor arrays; Signal processing algorithms; Underwater acoustics;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326199