Locating the position of fixed or mobile sources (ie, transmitters) based on measurements
obtained from sensors (ie, receivers) is an important research area that is attracting much …

A receive signal strength (RSS) fingerprinting-based indoor wireless localization system (I-
WLS) uses a localization machine learning (ML) algorithm to estimate the location of an …

The target sensing/localization performance is fundamentally limited by the line-of-sight link
and severe signal attenuation over long distances. This letter considers a challenging …

Massive antenna arrays can be used to meet the requirements of 5G, by exploiting different
spatial signatures of users. This same property can also be harnessed to determine the …

A large body of work has shown that ultra-wideband (UWB) technology enables accurate
indoor localization and tracking thanks to its high time-domain resolution. Existing systems …

Conventional direction-of-arrival (DOA) estimation methods are sensitive to outlier
measurements. Therefore, their performance may degrade substantially in the presence of …

A family of algorithms, named ℓ p-MUSIC, for direction-of-arrival (DOA) estimation in
impulsive noise is proposed. The ℓ p-MUSIC estimator adopts the ℓ p-norm (1≤ p 2) of the …

This paper focuses on optimal time-of-arrival (TOA) sensor placement for multiple target
localization simultaneously. In previous work, different solutions only using non-shared …

The linear least squares (LLS) technique is widely used in time-difference-of-arrival based
positioning because of its computational efficiency. Two-step weighted least squares …

In this paper, we address the problem of locating a target using multiple-input multiple-
output (MIMO) radar with widely separated antennas. Through linearizing the bistatic range …