Refining inaccurate sensor positions using target at unknown location

This paper addresses the problem of improving the receiver positions in a sensor array using the positioning measurements of targets at unknown locations. Using an efficient estimate of the target locations, a computationally efficient estimator is proposed to refine the sensor positions using the same set of measurements from the targets. The considered measurements include TOA and TDOA. The proposed estimator has closed-form and is able to reach the CRLB accuracy under small Gaussian noise which is supported by theoretical analysis and simulation studies.