Title :
Sensor node localization via spatial domain quasi-maximum likelihood estimation
Author :
Srirangarajan, Seshan ; Tewfik, Ahmed H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA
Abstract :
A Sensor node localization algorithm for indoor quasi-static sensor environments using spatial domain quasi-maximum likelihood (QML) estimation is presented. A time of arrival (TOA) based algorithm is used to arrive at the “pseudo” range estimates from the base stations to the sensor nodes. The localization algorithm uses spatial domain quasi-maximum likelihood estimation to determine the actual sensor location. The algorithm is preceded by a calibration phase during which statistical characterization of the line-of-sight (LOS) and non-line-of-sight (NLOS) returns are derived. Using a synthesized bandwidth of 2GHz, a 4-bit analog-to-digital converter (ADC) and 5-10dB signal-to-noise ratio (SNR), localization with high accuracy is achieved.
Keywords :
analogue-digital conversion; indoor navigation; maximum likelihood estimation; sensor placement; statistical analysis; time-of-arrival estimation; wireless sensor networks; 4-bit analog-to-digital converter; ADC; LOS; NLOS; QML estimation; SNR; TOA based algorithm; base station; indoor quasistatic sensor environment; nonline-of-sight; pseudorange estimation; sensor node localization; signal-to-noise ratio; spatial domain quasi-maximum likelihood estimation; statistical characterization; time of arrival based algorithm; wireless sensor network; Accuracy; Calibration; Distance measurement; Estimation; Signal processing algorithms; Signal to noise ratio;
Conference_Titel :
Signal Processing Conference, 2006 14th European
Conference_Location :
Florence
