Positioning Using Mobile TV Based on the DVB-SH Standard

Abstract

Positioning in urban or indoor environments is a hot topic, due to both regulations such as the E911 and extension of location-based services targeting the mass market concentrated in metropolitan areas. In deep urban or indoor areas, it is generally recognized that satellite-based positioning systems are not suitable (alone) to provide a continuous, reliable, and accurate position to the user. Therefore, alternative positioning techniques may be useful to complement or replace satellite positioning in these environments. This paper investigates the possibility of using a mobile TV system based on the DVB-SH standard as a system of opportunity for positioning. A system-level modification is used in order to make emitter discrimination possible in the synchronized emitter network. Then, the signal processing steps required for pseudorange estimation are detailed. The proposed method is simulated using realistic channel sounding measurements and provides a mean positioning error around 40 m.

Using two GNSS satellites and few DVB-T signals for positioning in dynamic scenarios

“…As a consequence the emitters cannot be identified. To overcome this problem, some artificial delays at the system side are introduced and analysed in [2]; the method is applied to a DVB-SH (satellite services to handhelds) system, which has a structure similar to that of DVB-T. But this method cannot be used for positioning based on the DVB-T signals since in the current version of this standard no such option is present.…”

“…Another benefit of this operation is the long range delay which can be detected, as it will be explained in the coming paragraphs. Another specific characteristic of the method is that the correlation with local replica is done in the frequency domain instead of time domain [1], [2], [3].…”

LTE receiver design and multipath analysis for navigation in urban environments

“…An alternative approach to these map‐based and sensor‐fusion–based approaches has emerged over the past decade. It exploits ambient signals of opportunity (SOPs), such as cellular, digital television, AM/FM, WiFi, and iridium satellite signals . Among the different SOPs, cellular signals are particularly attractive due to their ubiquity, geometric diversity, high received power, and large bandwidth .…”

Navigation using VLF signals with artificial neural networks

“…Most of the SoOP navigation uses signals with stable properties that are well known a priori. Examples of electromagnetic spectrum-based SoOP include AM/FM radio, [9][10][11] cellular phone, [12][13][14][15] digital television, [16][17][18] iridium 19 or other communication satellites, 20 WiFi, [21][22][23][24] VLF signals, 25,26 or combinations of signals. [27][28][29] These SoOP approaches make use of a priori information about their signals in order to derive navigation information.…”