2017
DOI: 10.18610/jg3.2017.071605
|View full text |Cite
|
Sign up to set email alerts
|

Requirements of a C-CDMA Pseudolite Indoor Geolocation System

Abstract: pseudolite indoor geolocation system. A C-CDMA pseudolite indoor geolocation system consists of four C-CDMA pseudolites and one or more C-CDMA receivers. The purpose of this paper is to provide the requirements for building C-CDMA pseudolites and a C-CDMA receiver.First, the pseudolite is assumed stationary and the geolocation information consists of the transmitter position and time. For each pseudolite this information is 4-ary encoded data at a symbol rate of 1 KHz. For example, an encoded geolocation signa… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2017
2017
2019
2019

Publication Types

Select...
5
1

Relationship

5
1

Authors

Journals

citations
Cited by 9 publications
(4 citation statements)
references
References 8 publications
0
4
0
Order By: Relevance
“…, (34) , (35) . 36The proof of theorem 5 is straightforward and is very similar to the proof of theorem 2 so we leave it as an exercise to the reader.…”
Section: Generalized Psd Definition and Discussionmentioning
confidence: 99%
“…, (34) , (35) . 36The proof of theorem 5 is straightforward and is very similar to the proof of theorem 2 so we leave it as an exercise to the reader.…”
Section: Generalized Psd Definition and Discussionmentioning
confidence: 99%
“…The literature has recognized the difficulty of measuring cognitive load caused by different information. As a result, navigation and driver behavior literature tends to investigate wayfinding-related cognitive load as a single entity [43][44][45][46][47]. Indicators such as task performance (e.g., errors) and psychometrics (e.g., surveys) are typically used to measure cognitive load in these studies [4,42,48], and although these are important measurements to consider, the lagging nature of the indicators are insufficient to support a real-time monitoring and control mechanism of cognitive load that attempts to distinguish different types of cognitive load (e.g., visual and verbal-driven).…”
Section: Cognitive Load and Information Intakementioning
confidence: 99%
“…Substituting (39) into (38) we obtain: is the Gauss hypergeometric function (see [14] xl index of special functions).…”
Section: ) We Havementioning
confidence: 99%