Apr 5, 2016 · This letter deals with noncooperative localization of a single target using censored binary observations acquired by spatially distributed ...

A smooth surrogate to the likelihood function is proposed here, whose maximizer is shown to approach the CMEC asymptotically as the likelihood approximation ...

Abstract—This letter deals with noncooperative localization of a single target using censored binary observations acquired by spa-.

This letter deals with noncooperative localization of a single target using censored binary observations acquired by spatially distributed sensors. An ideal ...

This letter deals with noncooperative localization of a single target using censored binary observations acquired by spatially distributed sensors. An ideal ...

Apr 25, 2024 · Analysis of Target Localization With Ideal Binary Detectors via Likelihood Function Smoothing. IEEE Signal Process. Lett. 23(5): 737-741 ...

Seyedi, ``Analysis of target localization with ideal binary detectors via likelihood function smoothing,'' IEEE Signal Processing Letters, vol. 23, no. 5 ...

Analysis of Target Localization with Ideal Binary Detectors via Likelihood Function Smoothing. A Shoari, G Mateos, A Seyedi. IEEE Signal Processing Letter 23, ...

Analysis of Target Localization With Ideal Binary Detectors via Likelihood Function Smoothing · Engineering, Computer Science. IEEE Signal Processing Letters.

Apr 25, 2024 · Analysis of Target Localization With Ideal Binary Detectors via Likelihood Function Smoothing. IEEE Signal Process. Lett. 23(5): 737-741 ...