Extraction of Doppler signature of micro‐to‐macro rotations/motions using continuous wave radar‐assisted measurement system

Kumawat, Harish Chandra; Raj, Arockia Bazil

doi:10.1049/iet-smt.2018.5563

Cited by 44 publications

(11 citation statements)

References 35 publications

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“…The micro-Doppler signature/pattern image generated using the RF system is shown in Figure 9 c, and it clearly evidences the behavioral profile of these two targets. As discussed in [ 29 ], the computed RPM using 93.63 Hz is 1873, which is the same as the tachometer’s value. The low-frequency micro-Doppler signature/pattern shown in Figure 9 c explores the orbital circular random motion of the kinetic warhead target.…”

Section: Results and Data Analysismentioning

confidence: 92%

“…Hence, the signature/pattern image shows 16 frequency spikes of 6 s duration in all signature/pattern images. The micro-Doppler spectrum is ~17 Hz, which depends on the length and flapping speed of the wings of the bionic bird [ 4 , 8 , 29 ]. The appearance of these 16 spikes in all the generated images evidences the detection accuracy of the developed RF sensor for the measurement of the wing-flapping/wing-beating rate of the bionic bird.…”

Section: Results and Data Analysismentioning

confidence: 99%

“…The Rx chain obtains the raw echo signal from the Rx antenna and passes it through the low-noise amplifier, mixer, baseband amplifier, and low-pass filter (LPF) to filter out the high-frequency (f LO + f RF ) component [ 20 ], as shown in Figure 3 . More details on the specifications of RF components/subsystems can be found in our recent publication [ 29 ]. The sensor is operated at a maximum power of 20 dBm.…”

Section: Design For Rf Sensor and Experimentsmentioning

confidence: 99%

“…New techniques were proposed for the computation of revolutions per minute (RPM) and oscillations per minute (OPM) using the micro-Doppler frequency produced by rotor blades and oscillating bodies (e.g., pendulum), respectively. The proposed techniques were experimentally validated against standard measurement results [ 29 ].…”

Section: Introductionmentioning

confidence: 99%

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SP-WVD with Adaptive-Filter-Bank-Supported RF Sensor for Low RCS Targets’ Nonlinear Micro-Doppler Signature/Pattern Imaging System

Kumawat

Raj

2022

Sensors

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In this study, the authors present the accurate imaging of the behavior of simultaneous operations of multiple low radar cross-section (RCS) aerial targets. Currently, the popularity of low RCS targets is increasing day by day, and detection and identification of these targets have become critical issues. Micro-Doppler signatures are key components for detecting and identifying these low RCS targets. For this, an innovative approach is proposed along with the smooth pseudo-Wigner–Ville distribution (SP-WVD) and adaptive filter bank to improve the attenuation of cross-term interferences to generate more accurate images for the micro-Doppler signatures/patterns of simultaneous multiple targets. A C-band (5.3 GHz) radio-frequency (RF) sensor is designed and used to acquire the micro-Doppler signatures of aerial rotational, flapping, and motional low RCS targets. Digital pipelined-parallel architecture is designed inside the Xilinx field-programable gate array (FPGA) for fast sensor data collection, data preprocessing, and interface to the computer (imaging algorithm). The experimental results of the proposed approach are validated with the results of the classical short-term Fourier transform (STFT), continuous wavelet transform (CWT), and smooth pseudo-Wigner Ville distribution (SP-WVD). Realistic open-field outdoor experiments are conducted covering different simultaneous postures of (i) two-/three-blade propeller/roto systems, (ii) flapping bionic bird, and (iii) kinetic warhead targets. The associated experimental results and findings are reported and analyzed in this paper. The limitations and possible future research studies are also discussed in the conclusion.

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Section: Results and Data Analysismentioning

confidence: 92%

Section: Results and Data Analysismentioning

confidence: 99%

Section: Design For Rf Sensor and Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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SP-WVD with Adaptive-Filter-Bank-Supported RF Sensor for Low RCS Targets’ Nonlinear Micro-Doppler Signature/Pattern Imaging System

Kumawat

Raj

2022

Sensors

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“…Verify the effectiveness of the above control strategy. For a type of linear system described by a discrete-time model, some scholars have studied the networked predictive control problem in the case of communication delays in both the forward channel and the feedback channel [6]. Literature [7] gives the necessary and sufficient conditions to ensure the stability of the closed-loop system when the communication delays are constant.…”

Section: Related Workmentioning

confidence: 99%

Research on Intelligent Predictive Analysis System Based on Embedded Wireless Communication Network

Sun

2022

Wireless Communications and Mobile Computing

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In order to improve the practical effect of intelligent prediction system, by analyzing and studying the characteristics of the traffic carried on the network, it can provide an effective way to explore the internal operating mechanism of the network. This paper takes the embedded wireless communication network as the research object to construct an intelligent predictive analysis system and applies the intelligent regression algorithm to the intelligent predictive analysis to construct an intelligent predictive analysis system. Finally, this paper verifies the system model of this paper through experimental research. The research results show that the intelligent predictive analysis system based on the embedded wireless communication network proposed in this paper is very effective and has a positive effect on the construction and development of the embedded wireless communication network.

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RHL-RADAR Remote Laboratory

Inoñan,

Reynolds,

Hussein

2024

Lecture Notes in Networks and Systems

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Extraction of Doppler signature of micro‐to‐macro rotations/motions using continuous wave radar‐assisted measurement system

Cited by 44 publications

References 35 publications

SP-WVD with Adaptive-Filter-Bank-Supported RF Sensor for Low RCS Targets’ Nonlinear Micro-Doppler Signature/Pattern Imaging System

SP-WVD with Adaptive-Filter-Bank-Supported RF Sensor for Low RCS Targets’ Nonlinear Micro-Doppler Signature/Pattern Imaging System

Research on Intelligent Predictive Analysis System Based on Embedded Wireless Communication Network

RHL-RADAR Remote Laboratory

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