A Machine Learning-Based Algorithm for Through-Wall Target Tracking by Doppler TWR

Doppler through-wall radar (TWR) enables noncontact behind-the-wall target trajectory tracking, which has a wide range of application scenarios in the field of detection. However, when facing unknown wall parameters, the detection accuracy of Doppler TWR becomes severely limited. Hence, in this work...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on instrumentation and measurement Ročník 73; s. 1 - 9
Hlavní autoři:	Cao, Jiaxuan, Ding, Yipeng, Peng, Yiqun, Chen, Yuxin, Ouyang, Fangping
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Artificial neural networks Back propagation networks Backpropagation neural network (BPNN) Doppler effect Doppler radar Doppler through-wall radar (TWR) Electromagnetic scattering Fourier transforms Machine learning Neural networks Radar tracking Receivers support vector machine (SVM) Support vector machines Target tracking Thickness Tracking Trajectory trajectory correction wall thickness
ISSN:	0018-9456, 1557-9662
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!