Sparse imaging for passive radar system based on digital video broadcasting satellites

2012 ◽  
Author(s):  
Changchang Liu ◽  
Tianyun Wang ◽  
Li Ding ◽  
Weidong Chen
Keyword(s):  
Digital Video ◽  
Radar System ◽  
Passive Radar ◽  
Digital Video Broadcasting ◽  
Video Broadcasting

scholarly journals Method of Calculating Desynchronization of DVB-T Transmitters Working in SFN for PCL Applications

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5776
Author(s):  
Karol Klincewicz ◽  
Piotr Samczyński
Keyword(s):  
Digital Video ◽  
Time Difference ◽  
Target Localization ◽  
Single Frequency ◽  
Passive Radar ◽  
Time Difference Of Arrival ◽  
Digital Video Broadcasting ◽  
Video Broadcasting ◽  
Novel Method ◽  
Result Analysis

This paper presents a novel method of calculating desynchronization between transmitters working in a single frequency digital video broadcasting-terrestrial (DVB-T) network. The described method can be a useful tool for enhancing passive radar operations and improving passive coherent location (PCL) sensors to correct their measurements of target localization. The paper presents the problem of localizing DVB-T transmitters utilized by passive radars, and proposes a novel method based on Time Difference of Arrival (TDoA) techniques to solve the problem. The proposed technique has been validated using real signals collected by a PCL sensor receiver. The details of the experiment and extensive result analysis are also contained in this article.

High-range resolution multichannel DVB-T passive radar: aerial target detection

2012 ◽  
Vol 4 (2) ◽  
pp. 147-153 ◽  
Author(s):  
Dario Petri ◽  
Amerigo Capria ◽  
Michele Conti ◽  
Fabrizio Berizzi ◽  
Marco Martorella ◽  
...  
Keyword(s):  
Processing Technique ◽  
Radar System ◽  
Passive Radar ◽  
Transmission Channel ◽  
Digital Video Broadcasting ◽  
Range Resolution ◽  
Video Broadcasting ◽  
Air Surveillance ◽  
System Operating ◽  
High Range

A method for improving range resolution in passive radar system is to jointly use more than one transmission channel of the same illuminator of opportunity (IO). This paper specifically focuses on the exploitation of multiple adjacent digital video broadcasting-terrestrial (DVB-T) channels for achieving high-range resolution profiles with a passive radar system operating in air surveillance scenario. Firstly, we present an analysis of the ambiguity function obtained from a multichannel DVB-T source and a pre-processing technique able to improve the characteristics of the multichannel signal are presented. Afterwards, the experimental scenario is defined and detection results on aerial targets are shown.

scholarly journals Target Coordinates Estimation by Passive Radar with a Single non-Cooperative Transmitter and a Single Receiver

2020 ◽  
Vol 16 (2) ◽  
pp. 156-162
Author(s):  
Ali Kazem ◽  
Adnan Malki ◽  
Anas Mahmoud Almanofi
Keyword(s):  
Signal To Noise Ratio ◽  
Radar System ◽  
Passive Radar ◽  
Echo Signal ◽  
Digital Video Broadcasting ◽  
Cartesian Coordinates ◽  
Video Broadcasting ◽  
Multiple Receivers ◽  
Arrival Angles ◽  
Single Receiver

Passive radar is a bistatic radar that detects and tracks targets by processing reflections from non-cooperative transmitters. Due to the bistatic geometry for this radar, a target can be localized in Cartesian coordinates by using one of the following bistatic geometries: multiple non-cooperative transmitters and a single receiver, or a single non-cooperative transmitter and multiple receivers, whereas the diversity of receivers or non-cooperative transmitters leads to extra signal processing and a ghost target phenomenon. To mitigate these two disadvantages, we present a new method to estimate Cartesian coordinates of a target by a passive radar system with a single non-cooperative transmitter and a single receiver. This method depends on the ability of the radar receiver to analyze a signal-to-noise ratio (SNR) and estimate two arrival angles for the target’s echo signal. The proposed passive radar system is simulated with a Digital Video Broadcasting-Terrestrial (DVB-T) transmitter, and the simulation results show the efficiency of this system compared with results of other researches.

scholarly journals Doppler Frequency Estimation for a Maneuvering Target Being Tracked by Passive Radar Using Particle Filter

2020 ◽  
Vol 16 (4) ◽  
pp. 279-284
Author(s):  
Anas M. Almanofi ◽  
Adnan Malki ◽  
Ali Kazem
Keyword(s):  
Particle Filter ◽  
Frequency Estimation ◽  
Doppler Frequency ◽  
Minimum Variance ◽  
Radar System ◽  
Passive Radar ◽  
Digital Video Broadcasting ◽  
Video Broadcasting ◽  
Maneuvering Target ◽  
Doppler Frequency Estimation

In this paper, we estimate Doppler frequency of a maneuvering target being tracked by passive radar using two types of particle filter, the first is “Maximum Likelihood Particle Filter” (MLPF) and the second is “Minimum Variance Particle filter” (MVPF). By simulating the passive radar system that has the bistatic geometry “Digital Video Broadcasting-Terrestrial (DVB-T) transmitter / receiver” with these two types, we can estimate the Doppler frequency of the maneuvering target and compare the simulation results for deciding which type gives better performance.

scholarly journals IDEPAR: a multichannel digital video broadcasting‐terrestrial passive radar technological demonstrator in terrestrial radar scenarios

2017 ◽  
Vol 11 (1) ◽  
pp. 133-141 ◽  
Author(s):  
Maria‐Pilar Jarabo‐Amores ◽  
Jose‐Luis Bárcena‐Humanes ◽  
Pedro Gómez‐del‐Hoyo ◽  
Nerea Rey‐Maestre ◽  
Diego Juara‐Casero ◽  
...  
Keyword(s):  
Digital Video ◽  
Passive Radar ◽  
Digital Video Broadcasting ◽  
Video Broadcasting

scholarly journals Passive Forward-Scattering Radar Using Digital Video Broadcasting Satellite Signal for Drone Detection

2020 ◽  
Vol 12 (18) ◽  
pp. 3075 ◽  
Author(s):  
Raja Syamsul Azmir Raja Abdullah ◽  
Surajo Alhaji Musa ◽  
Nur Emileen Abdul Rashid ◽  
Aduwati Sali ◽  
Asem Ahmad Salah ◽  
...  
Keyword(s):  
Digital Video ◽  
Doppler Frequency ◽  
Traffic Monitoring ◽  
Forward Scattering ◽  
Passive Radar ◽  
Signal Processing Algorithm ◽  
Digital Video Broadcasting ◽  
Video Broadcasting ◽  
Mode Decomposition ◽  
Unique Method

This paper presents a passive radar system using a signal of opportunity from Digital Video Broadcasting Satellite (DVB-S). The ultimate purpose of the system is to be used as an air traffic monitoring and surveillance system. However, the work focuses on drone detection as a proof of the concept. Detecting a drone by using satellite-based passive radar possess inherent challenges, such as the small radar cross section and low speed. Therefore, this paper proposes a unique method by leveraging the advantage of forward-scattering radar (FSR) topology and characteristics to detect a drone; in other words, the system is known as a passive FSR (p-FSR) system. In the signal-processing algorithm, the empirical mode decomposition (EMD) is applied to the received signal to extract the unique feature vector of the micro-Doppler frequency from the drone’s rotating blades. The paper highlights the p-FSR experimental setup and experiment campaign to detect drones. The experimental results show the feasibility of the p-FSR using a signal transmitted from a satellite to detect flying drone crossing the forward-scatter baseline between the satellite and ground station.

Quantization Algorithms in Healthcare Information Telematics Using Wireless Interactive Services of Digital Video Broadcasting.

2020 ◽  
Vol 13 ◽  
Author(s):  
Konstantinos Kardaras ◽  
George I. Lambrou ◽  
Dimitrios Koutsouris
Keyword(s):  
Data Compression ◽  
Data Transmission ◽  
Digital Video ◽  
Digital Television ◽  
End User ◽  
Digital Video Broadcasting ◽  
New Era ◽  
Video Broadcasting ◽  
Television Network ◽  
Interactive Services

Background: In the new era of wireless communications new challenges emerge including the provision of various services over the digital television network. In particular, such services become more important when referring to the tele-medical applications through terrestrial Digital Video Broadcasting (DVB). Objective: One of the most significant aspects of video broadcasting is the quality and information content of data. Towards that end several algorithms have been proposed for image processing in order to achieve the most convenient data compression. Methods: Given that medical video and data are highly demanding in terms of resources it is imperative to find methods and algorithms that will facilitate medical data transmission with ordinary infrastructure such as DVB. Results: In the present work we have utilized a quantization algorithm for data compression and we have attempted to transform video signal in such a way that would transmit information and data with a minimum loss in quality and succeed a near maximum End-user approval. Conclusions: Such approaches are proven to be of great significance in emergency handling situations, which also include health care and emergency care applications.

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