Target detection for linear frequency‐modulated continuous‐wave radar via reduced‐dimension approximate message passing

2020 ◽  
Vol 56 (4) ◽  
pp. 197-199
Author(s):  
Benzhou Jin ◽  
Shubai Zhang ◽  
Zhongyuan Que
2014 ◽  
Vol 56 (11) ◽  
pp. 2484-2489
Author(s):  
Tauseef Tauqeer ◽  
Maira Islam ◽  
A. K. Aziz

2022 ◽  
pp. 482-505
Author(s):  
Alexey Noskov

Open, systematic, and global approaches are needed to address the challenges of aeroconservation and pest management. Recent technical progress enables deeper investigation and understanding of aeroecology. Radar plays a central role in flying species monitoring in the global scope. The technology provides various ways of target detection and tracking, working for multiple ranges and different visibility. The existing technology allows deploying global monitoring of avian and insect species. This work discusses the essentials of the technology and the history of its application for bird and insect detection. The author describes the development of the topic according to the main groups of radar approaches: pulsed sets, vertical-looking solutions, harmonic systems, and efficient frequency modulated continuous wave radar. Advances in big data processing, robotics, computation, and communications enable practitioners to combine the discussed radar solutions aiming at global avian and insect biodiversity monitoring and negative human impact systematic estimation.


Author(s):  
Yussi Perdana Saputera ◽  
Dina Herdiana ◽  
Hanny Madinawati ◽  
Andriyan Bayu Suksmono ◽  
Achmad Munir

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3853
Author(s):  
Fei Qin ◽  
Xiangxi Bu ◽  
Yunlong Liu ◽  
Xingdong Liang ◽  
Jihao Xin

Foreign Object Debris (FOD) refers to any foreign material on the airfield that may injure and threaten the aircraft and airport system. Due to the complex background on the airfield pavement and weak target echoes in long-distance monitoring, it is not easy to detect objects of various types and sizes. The existing FOD radar system’s detection method has a short effective range, and the detectable objects’ radar cross-section intensity is no less than −20 dBsm. In this paper, we propose an integrated FOD automatic target detection algorithm for millimeter-wave (MMW) surveillance radar to improve small target detection under long-range conditions of over 660 m. The signal form of FOD and a clutter model of ground clutter received by millimeter-wave radar are primarily utilized and established theoretically. The runway edge detection means that it is employed based on the in-continuity features as the runway region of interest during the automatic extraction step. Following the clutter map constant false alarm detection algorithm, we utilize a time-domain algorithm that functions as the vital detection processor. Moreover, an explicit definition of the FOD detection performance is developed in a characteristic quantitative way. This criterion involves an absolute reference value for all FOD radar systems. The well-designed FOD frequency-modulated continuous-wave MMW surveillance radar is utilized, and actual experiments are carried out in a real airport in Beijing, China. The results validate the proposed method’s effectiveness and the superior performance of FOD target detection in long-range situations.


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