Efficient Digital Beamforming for Bluetooth 5.1 Using Software Defined Radio

2021 ◽  
pp. 1-10
Author(s):  
Fabricio Toasa ◽  
Luis Tello-Oquendo ◽  
Carlos Ramiro Penafiel-Ojeda ◽  
Anibal Llanga-Vargas ◽  
Giovanny Cuzco
2019 ◽  
Vol 11 (5-6) ◽  
pp. 482-489
Author(s):  
Rodrigo Blázquez-García ◽  
Jorge Casamayón-Antón ◽  
Mateo Burgos-García

AbstractWith the aim of performing perimeter surveillance of high-speed railway networks, this paper presents the design of a passive multistatic radar system based on the use of Long-Term Evolution (LTE) downlink signals as the illumination of opportunity. Taking into account the specifications and standard of the LTE system, the ambiguity function of measured downlink signals is analyzed in terms of range and Doppler resolution, ambiguities, and sidelobe level. The deployment of the proposed passive radar is flexible and scalable, and it is based on multichannel software defined radio receivers that obtain the reference and surveillance signals by means of digital beamforming. The signal processing and data fusion are based, respectively, on the delay-Doppler cross-correlation with the reconstructed reference signals and a two-stage tracking at sensor and central level. Finally, the performance of the proposed system is estimated in terms of its maximum detection range and simulation results of the detection of moving targets are presented, demonstrating its technical feasibility for the short-range detection of pedestrians, vehicles, and small drones.


2018 ◽  
Vol 28 (01) ◽  
pp. 1950006
Author(s):  
Haolin Li ◽  
Joris Van Kerrebrouck ◽  
Johan Bauwelinck ◽  
Piet Demeester ◽  
Guy Torfs

This paper describes improvements in a Farrow-structured variable fractional delay (FD) Lagrange filter for all-pass FD interpolation. The main idea is to integrate the truncated sinc into the Farrow structure of a Lagrange filter, in order that a superior FD approximation in the least-square sense can be achieved. Its primary advantages are the lower level of mean-square-error (MSE) over the whole FD range and the reduced implementation cost. Extra design parameters are introduced for making the trade-off between MSE and maximal flatness under different design requirements. Design examples are included, illustrating an MSE reduction of [Formula: see text] compared to a classical Farrow-structured Lagrange interpolator while the implementation cost is reduced. This improved variable FD interpolation system is suitable for many applications, such as sample rate conversion, digital beamforming and timing synchronization in wideband software-defined radio (SDR) communications.


2014 ◽  
Vol 1 ◽  
pp. 662-665
Author(s):  
Hisashi Watanabe ◽  
Yuichi Omori ◽  
Mikio Hasegawa ◽  
Kazuyuki Aihara

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