scholarly journals Jaringan Sensor Nirkabel: Studi dan Evaluasi Kinerja LoRa Transmitter dan Long Range Radio Frekuensi (RF) Pada Luar Ruang

2021 ◽  
Vol 3 (1) ◽  
pp. 6-12
Author(s):  
Rifki Muhendra
Keyword(s):  
Long Range ◽  
Line Of Sight ◽  
Ism Band ◽  
Non Line Of Sight

Transmitter merupakan tulang punggung komunikasi pada Jaringan Sensor Nirkabel. Sebagian besar transmitter menggunakan frekuensi ism band sehingga jangkauan komunikasinya terbatas sejauh 100 m. Beberapa jenis transmitter yang memiliki kemampuan komunikasi jarak jauh adalah nRF24 1 km dan LoRa. Paper ini melaporkan studi komperasi antara nRF24 1 km dan LoRa dalam komunikasi data, konsumsi daya dan ketahanan terhadap halangan. Hasil studi menunjukkan bahwa LoRa memiliki kemampuan jangkauan 1,6 km dan nRF24 memiliki kemampuan pengiriman sejauh 1 km. NRF24 1 km lebih cocok digunakan untuk komunikasi jarak jauh yang membutuhkan kecepatan yang tinggi dan juga tahan terhadap halangan non- line of sight.

Optimization of Link Analysis and Design for Long-Range Non-Line-of-Sight Atmospheric Scattering Communication

2012 ◽  
Vol 39 (9) ◽  
pp. 0913003 ◽  
Author(s):  
宋超 Song Chao ◽  
徐智勇 Xu Zhiyong ◽  
汪井源 Wang Jingyuan ◽  
韦毅梅 Wei Yimei
Keyword(s):  
Long Range ◽  
Link Analysis ◽  
Line Of Sight ◽  
Analysis And Design ◽  
Atmospheric Scattering ◽  
Non Line Of Sight

scholarly journals Indoor Positioning System Based on Global Positioning System Signals with Down- and Up-Converters in 433 MHz ISM Band

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4338
Author(s):  
Abdulkadir Uzun ◽  
Firas Abdul Ghani ◽  
Amir Mohsen Ahmadi Najafabadi ◽  
Hüsnü Yenigün ◽  
İbrahim Tekin
Keyword(s):  
Global Positioning System ◽  
Indoor Positioning ◽  
Position Estimation ◽  
Line Of Sight ◽  
Positioning System ◽  
Gps Receiver ◽  
Ism Band ◽  
Global Positioning ◽  
Indoor Positioning System ◽  
Non Line Of Sight

In this paper, an indoor positioning system using Global Positioning System (GPS) signals in the 433 MHz Industrial Scientific Medical (ISM) band is proposed, and an experimental demonstration of how the proposed system operates under both line-of-sight and non-line-of-sight conditions on a building floor is presented. The proposed method is based on down-converting (DC) repeaters and an up-converting (UC) receiver. The down-conversion is deployed to avoid the restrictions on the use of Global Navigation Satellite Systems (GNSS) repeaters, to achieve higher output power, and to expose the GPS signals to lower path loss. The repeaters receive outdoor GPS signals at 1575.42 MHz (L1 band), down-convert them to the 433 MHz ISM band, then amplify and retransmit them to the indoor environment. The front end up-converter is combined with an off-the-shelf GPS receiver. When GPS signals at 433 MHz are received by the up-converting receiver, it then amplifies and up-converts these signals back to the L1 frequency. Subsequently, the off-the-shelf GPS receiver calculates the pseudo-ranges. The raw data are then sent from the receiver over a 2.4 GHz Wi-Fi link to a remote computer for data processing and indoor position estimation. Each repeater also has an attenuator to adjust its amplification level so that each repeater transmits almost equal signal levels in order to prevent jamming of the off-the-shelf GPS receiver. Experimental results demonstrate that the indoor position of a receiver can be found with sub-meter accuracy under both line-of-sight and non-line-of-sight conditions. The estimated position was found to be 54 and 98 cm away from the real position, while the 50% circular error probable (CEP) of the collected samples showed a radius of 3.3 and 4 m, respectively, for line-of-sight and non-line-of-sight cases.

scholarly journals Non-line-of-sight tracking of people at long range

2017 ◽  
Vol 25 (9) ◽  
pp. 10109 ◽  
Author(s):  
Susan Chan ◽  
Ryan E. Warburton ◽  
Genevieve Gariepy ◽  
Jonathan Leach ◽  
Daniele Faccio
Keyword(s):  
Long Range ◽  
Line Of Sight ◽  
Non Line Of Sight

Integrating the Non-Line of Sight Launching System (NLOS-LS) in the United States Navy

2007 ◽  
Author(s):  
Jonathon Emis ◽  
Bryan Huang ◽  
Timothy Jones ◽  
Mei Li ◽  
Don Tumbocon
Keyword(s):  
United States ◽  
United States Navy ◽  
The United States ◽  
Line Of Sight ◽  
Non Line Of Sight

scholarly journals Low-cost SPAD sensing for non-line-of-sight tracking, material classification and depth imaging

2021 ◽  
Vol 40 (4) ◽  
pp. 1-12
Author(s):  
Clara Callenberg ◽  
Zheng Shi ◽  
Felix Heide ◽  
Matthias B. Hullin
Keyword(s):  
Low Cost ◽  
Line Of Sight ◽  
Depth Imaging ◽  
Material Classification ◽  
Non Line Of Sight

scholarly journals Target Localization via Integrated and Segregated Ranging Based on RSS and TOA Measurements

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 230 ◽  
Author(s):  
Slavisa Tomic ◽  
Marko Beko
Keyword(s):  
State Of The Art ◽  
Hybrid Approach ◽  
Critical Distance ◽  
Heuristic Approach ◽  
Target Localization ◽  
Line Of Sight ◽  
Time Of Arrival ◽  
Individual Measurement ◽  
New Approach ◽  
Non Line Of Sight

This work addresses the problem of target localization in adverse non-line-of-sight (NLOS) environments by using received signal strength (RSS) and time of arrival (TOA) measurements. It is inspired by a recently published work in which authors discuss about a critical distance below and above which employing combined RSS-TOA measurements is inferior to employing RSS-only and TOA-only measurements, respectively. Here, we revise state-of-the-art estimators for the considered target localization problem and study their performance against their counterparts that employ each individual measurement exclusively. It is shown that the hybrid approach is not the best one by default. Thus, we propose a simple heuristic approach to choose the best measurement for each link, and we show that it can enhance the performance of an estimator. The new approach implicitly relies on the concept of the critical distance, but does not assume certain link parameters as given. Our simulations corroborate with findings available in the literature for line-of-sight (LOS) to a certain extent, but they indicate that more work is required for NLOS environments. Moreover, they show that the heuristic approach works well, matching or even improving the performance of the best fixed choice in all considered scenarios.

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