Simple solution to the optimal deployment of cooperative nodes in two-dimensional TOA-based and AOA-based localization system

Abstract

Cellular-based cooperative communication is a promising technique that allows cooperation among mobile devices not only to increase data throughput but also to improve localization services. For a certain number of cooperative nodes, the geometry plays a significant role in enhancing the accuracy of target. In this paper, a simple solution to the deployment of cooperative nodes aiming at the lowest geometric dilution of precision (GDOP) is proposed suitable for both time of arrival-based cooperative localization system and angle of arrival-based cooperative localization system. Inertia dependence factor is suggested to reveal the relationship among the optimal positions of each cooperative node, which extracts the inertia and the recursiveness of deployment. It is shown in simulations that the proposed solution almost achieves the same GDOP as that of global exclusive method but with less complexity.

Performance limit of AOA-based localization using MIMO-OFDM channel state information

“…The performance respecting P t is not presented, because it is obvious that the MSE-versus-P t curve in this case is a line with a slope of −10 dB/decade. Note also that a study of the performance respecting geometry may be useful in determining the positions of BS antenna arrays [23]. Such study is beyond the scope of our work, and we believe it merits further investigation.…”

“…Note that changing ρ does not affect either the size of E k or the number of summands in (16). By changing ρ, we only recompute g q,n , n > 0, ∀q to obey (23) for use in the construction of new E k . The figure shows that all curves are essentially flat, and therefore, the MSE seems to be independent of ρ.…”

Adapting the Boerdijk–Coxeter helix as node configuration for GPS‐denied localization in three dimensions

“…Prior literature has typically advocated using global dilution of precision (GDOP) as a benchmark of how well the resulting localization network minimizes localization accuracy (Li et al., 2012; Shi et al., 2017; Hao et al, 2008). For reference, GDOP is evaluated using the variances arising from range measurements D to a target point ( x, y, z ) (Langley, 1999).…”

An Efficient Estimator for Target Localization in a Multistation Redundancy System without Matrix Inversion

“…Several range-based geolocation techniques have been used to estimate the target position including the time-of-arrival (TOA) [5][6][7], the time-difference-of-arrival (TDOA) [8,9], the angle-of-arrival (AOA) [10][11][12], the received signal strength (RSS) [13][14][15][16] based techniques, or hybrid location techniques [17,18]. Among these location techniques, TOA and AOA have attracted much attention because of their high positioning accuracy [16,18]. This paper focuses on TOA and AOA location techniques.…”