This chapter presents a collection of the latest research results in the field of wireless positioning carried out within the European Network of Excellence NEWCOM++. It shows a necessarily partial panorama of the “hottest topics” in advanced wireless positioning, within the applicative and technological framework drawn in the previous chapters. The focus is first oriented to the recent advances in UWB positioning algorithms, considering a frequency-domain approach for TOA estimation, a joint TOA/AOA estimation algorithm, the impairment due to interference, and the mitigation of the non-line-of-sight bias effect. Then, an application of MIMO systems for positioning is discussed. Non-conventional geometrical solutions for positioning are represented by the bounded-error distributed estimation and the projection onto convex sets (POCS) approach. POCS is then revisited in the context ofcooperative positioning, together with a cooperative least-squares approach and a distributed algorithm based on belief propagation. Finally, the cognitive positioning concept is introduced as a feature of cognitive radio terminals. After deriving the expected performance bound, optimum signal design for positioning purposes is addressed and positioning approaches are discussed.

Innovative Signal Processing Techniques for Wireless Positioning

NICOLI, MONICA BARBARA;REGGIANI, LUCA;
2012-01-01

Abstract

This chapter presents a collection of the latest research results in the field of wireless positioning carried out within the European Network of Excellence NEWCOM++. It shows a necessarily partial panorama of the “hottest topics” in advanced wireless positioning, within the applicative and technological framework drawn in the previous chapters. The focus is first oriented to the recent advances in UWB positioning algorithms, considering a frequency-domain approach for TOA estimation, a joint TOA/AOA estimation algorithm, the impairment due to interference, and the mitigation of the non-line-of-sight bias effect. Then, an application of MIMO systems for positioning is discussed. Non-conventional geometrical solutions for positioning are represented by the bounded-error distributed estimation and the projection onto convex sets (POCS) approach. POCS is then revisited in the context ofcooperative positioning, together with a cooperative least-squares approach and a distributed algorithm based on belief propagation. Finally, the cognitive positioning concept is introduced as a feature of cognitive radio terminals. After deriving the expected performance bound, optimum signal design for positioning purposes is addressed and positioning approaches are discussed.
Satellite and Terrestrial Radio Positioning Techniques - A signal processing perspective
9780123820846
Cognitive positioning; Cooperative positioning; Frequency-domain TOA estimation; MIMO; NLOS detection; POCS; TOA estimation in NLOS conditions; TOA/AOA estimation; UWB
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/629990
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