DocumentCode :
730403
Title :
Assessing range accuracy for bearings-only geolocation using optimal logarithmic spiral sensor path trajectories
Author :
Adib, Neda ; Douglas, Scott C.
Author_Institution :
Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA
fYear :
2015
fDate :
19-24 April 2015
Firstpage :
2554
Lastpage :
2558
Abstract :
In this paper, we develop a procedure for evaluating the performance of a single moving sensor system to estimate the range to a stationary emitter based on the discrete-time collection of bearing measurements along the trajectory travelled. We describe a numerical procedure to calculate the range p.d.f. from a chosen trajectory assuming a constant quality for the bearing measurements and use this procedure to evaluate the range root mean-square error as a function of the distance travelled. The logarithmic spiral family of trajectories is of particular interest, both from the standpoint of optimal control where such paths are derived, and from experimental biology, where large birds of prey are observed to travel in such paths in their search for food. Our performance analysis of these scenarios indicates why pitch angles less than 45° are to be preferred when a balanced range estimation performance throughout the trajectory is desired.
Keywords :
antenna arrays; mean square error methods; parameter estimation; radio receivers; bearing measurements; bearings-only geolocation; biology; discrete-time collection; moving sensor system; optimal logarithmic spiral sensor path trajectories; range accuracy assessment; root mean-square error; Accuracy; Antenna arrays; Geology; Receivers; Sensor arrays; Spirals; Trajectory; antenna arrays; azimuthal angle; parameter estimation; path planning; spirals; statistical distributions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
Type :
conf
DOI :
10.1109/ICASSP.2015.7178432
Filename :
7178432
Link To Document :
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