A Cramér-Rao Lower Bound for Analyzing the Localization Performance of a Multistatic Joint Radar-Communication System

2021 ◽  
Author(s):  
Adham Sakhnini ◽  
Mamoun Guenach ◽  
Andre Bourdoux ◽  
Sofie Pollin
Keyword(s):  
Lower Bound ◽  
Communication System ◽  
Localization Performance ◽  
Cramer Rao Lower Bound

Optimum Sensor Array for Passive Localization from Time Differences of Arrival

2014 ◽  
Vol 721 ◽  
pp. 411-415
Author(s):  
Cheng Zhou ◽  
Gao Ming Huang ◽  
Jun Gao
Keyword(s):  
Lower Bound ◽  
Unbiased Estimator ◽  
Sensor Array ◽  
Sensor Placement ◽  
Localization Algorithm ◽  
Localization Performance ◽  
Cramer Rao Lower Bound ◽  
Optimum Sensor ◽  
Optimum Sensor Placement ◽  
Passive Localization

The problem how to improve the accuracy of passive localization from time differences of arrival received considerable interest. The localization performance of any unbiased estimator can be explicitly characterized by certain measures, for example, by the Cramer-Rao lower bound (CRLB) on the estimator variance. The lower the CRLB, the better localization performance. It is well known that the relative sensor-target geometry can significantly affect the performance of any particular localization algorithm. It demonstrates, when target is surrounded by the sensors, uniform angular array is the optimum sensor placement, in which the CRLB is minimized.

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