Multilateration tracking and synchronization over wide areas

Yang, Yun; Baldwin, Jason; Smith, A.

doi:10.1109/nrc.2002.999755

Cited by 5 publications

(4 citation statements)

References 6 publications

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“…Also is sufficient up to nine sensors in order to generate a higher grade of reliability to the system. [4][5][6][7][8][9][10][11][12][13][14][15] A homogenization level (HL) in the precision of a system with sensors is defined as:…”

Section: Discussionmentioning

confidence: 99%

ETP/GDOP Behavior Study for N-Sensors Arrays ina Multilateration Radar System

Mantilla-Gaviria¹,

Ruiz-Mojica²,

Tejedor³

et al. 2009

Iteckne

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Abstract-In this paper, we evaluated the ETP (Expected Theoretical Precision) and GDOP (Geometric Dilution Of Precision) enhancement related to the number of sensors in a Multilateration radar system. An introduction about the principles of the Multilateration radar system basis operation is described, then, the formulation for evaluation the ETP/GDOP of the 3D positioning is shown. We observed that the ETP and GDOP enhance with the increase of the number of sensors. A substantial improvement was obtained until nine sensors but, for more sensors that improvement is reduced. Results for a 75km×75km area are shown, including LAM (Local Area Multilateration) and WAM (Wide Area Multilateration) settings and different values of the aircraft height (5m for LAM surface, 5000m and 8000m for WAM). Additional parameters are shown in order to evaluate the system quality. These parameters are the Expected Theoretical Precision Gain (ETP Gain), Homogenization Level (HL) and Percentage Over a Reference Value (PORV). Due to the proportionality between the ETP and GDOP, only ETP results are shown. In the simulations the same settings of the sensors was used; 3ns for instrumental error and 27m for antenna height. These are typically values for real Multilateration radar system used for the air traffic control.

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Section: Discussionmentioning

confidence: 99%

ETP/GDOP Behavior Study for N-Sensors Arrays ina Multilateration Radar System

Mantilla-Gaviria¹,

Ruiz-Mojica²,

Tejedor³

et al. 2009

Iteckne

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“…The ASR is generally operated by both a Primary Surveillance Radar (PSR) [1] and a Secondary Surveillance Radar (SSR) [2]. On the other hand, the aircraft surveillance on airport surface is also important to control and guide aircrafts for take off and landing [3].…”

Section: Introductionmentioning

confidence: 99%

“…As an airport surface surveillance system, a multilatelation (MLAT) [3] has been introduced to several major airports in Japan [4], [5]. Every aircraft must be loaded an Air Traffic Control (ATC) transponder in order to reply to the SSR which transmits interrogation signals [2].…”

Section: Introductionmentioning

confidence: 99%

Rapid Computation Algorithm for Radio Wave Propagation Characteristics on Airport Surface

Honda¹,

Otsuyama²

2014

2014 Eighth International Conference on Complex, Intelligent and Software Intensive Systems

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This paper is concerned with an analysis of propagation characteristics on an airport surface by using the ray tracing method (RTM). The RTM is generally applied to an analysis of behaviors of electromagnetic waves in urban/suburban areas for such terrestrial broadcasting and cellular phone, and there were only few reports in a civil aviation research field. However, in aircraft surveillance systems in the airport, performance decrement arises due to the multipath interference. Therefore, it is important to investigate propagation characteristics in the airport. In this paper, we firstly propose an algorithm for rapid field computation based on the RTM. In the algorithm, we generate obstacles by triangular or rectangular faces, and we simplify the ray searching procedure by using the representative points of each obstacles' face. That process enables us to compute electromagnetic fields as rapidly as possible. Next, we describe the computation method of electromagnetic field. Finally, we show ray distribution, delay profile and received powers as numerical examples. We discuss the computation time of the proposed method and the interferences of multipath which lead to the detection errors.

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“…Multilateration data from Wide Area Multilateration (WAM) sensors (Yang et al, 2002). They have much lower errors (in the order of 5-100 m), also showing a linear relation in its value related to the distance to the sensors positions.…”

mentioning

confidence: 99%