A Calibration Method of a Range Finder With a Six-Port Network

Yang, Jong‐Ryul; Kim, Dong-Wook; Hong, Songcheol

doi:10.1109/lmwc.2007.899325

Cited by 15 publications

(11 citation statements)

References 7 publications

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“…The phase shifter is used to generate a circle trajectory by varying the phases of the signal on the complex plane, and several other methods can be employed to implement this function. When the target is mechanically moved within a displacement similar to the half wavelength of the operating frequency, baseband signals can draw the circle trajectory on the complex plane as in the case of using the phase shifter [ 22 ]. However, an elliptical trajectory is generated owing to the change in the distance to the target, in contrast to the circle trajectory using phase shifters.…”

Section: Methodsmentioning

confidence: 99%

Vital-Signs Detector Based on Frequency-Shift Keying Radar

Sim¹,

Park²,

Yang³

2020

Sensors

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A frequency-shift keying (FSK) radar in the 2.45-GHz band is proposed for highly accurate vital-signs detection. The measurement accuracy of the proposed detector for the heartbeat is increased by using the cross-correlation between the phase differences of signals at two frequencies used by the FSK radar, which alternately transmits and receives the signals with different frequencies. Two frequencies—2.45 and 2.5 GHz—are effectively discriminated by using the envelope detection with the frequency control signal of the signal generator in the output waveform of the FSK radar. The phase difference between transmitted and received signals at each frequency is determined after calibrating the I / Q imbalance and direct-current offset using a data-based imbalance compensation algorithm, the Gram–Schmidt procedure, and the Pratt method. The absolute-distance measurement results for a human being show that the vital signs obtained at each frequency using the proposed FSK radar have a cross-correlation. The heartbeat detection results for the proposed FSK radar at a distance of < 2.4 m indicate a reduction in the error rate and an increase in the signal-to-noise ratio compared with those obtained using a single operating frequency.

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Section: Methodsmentioning

confidence: 99%

Vital-Signs Detector Based on Frequency-Shift Keying Radar

Sim¹,

Park²,

Yang³

2020

Sensors

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“…The radar sensor is based on detecting phase differences between reference and received signals using the six‐port network . The phase difference Δφ in the radar sensor using the six‐port network can be obtained using DC output voltages as in ,

Δ φ = \cot^{- 1} true(\frac{V_{4} / K_{43} - V_{3}}{V_{5} / K 53 - V_{6} / K_{63}} \cdot \frac{1}{\cos true(ϕ_{3} true)} + \tan true(ϕ_{3} true) true)

where V i is DC voltage, K i 3 is the parameter including the amplitude errors in a six‐port network and diode mismatches for each port, and φ 3 is the phase error related to the delayed line. Received signal r is a delayed signal of transmitted signal s .…”

Section: Principle Of the Range Detectionmentioning

confidence: 99%

“…The whole radar sensor including the six‐port network is calibrated using the calibration process in before measuring the distances. The measured distances are shown in Figure after the calibration process.…”

Section: Distance Measurement Using the Radar Sensormentioning

confidence: 99%

A 24‐GHz radar sensor with a six‐port network for short‐range detection

Yang

Hong

2014

Micro & Optical Tech Letters

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The miniaturized radar sensor for detecting short distances is realized using a six‐port network. The six‐port network of the radar sensor consists of passive components and RF power detectors. The power detector obtains a highly accurate DC voltage because DC offsets are cancelled using a dummy structure in the detector. The maximum error of a distance measurement to 3 m is approximately 2% for a single target. Using traveling wave antennas, the distances to two targets with different directions are measured with 6.7% maximum detection error to 1 m. © 2014 Wiley Periodicals, Inc. Microwave Opt Technol Lett 56:2634–2637, 2014

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“…Other fiber delay line structures were also used to extend the measurement range, but its largest measurement range is only about 10 m [7,8]. For a certain applications, such as a calibration total station [9,10], it is usually requested to calibrate the 1 km range with measurement resolution better than 0.15 mm [11]. This performance can also find many other applications in in-service fiber line identification in a complex fiber network, fiber chromatic dispersion measurement, and long distributed fiber-optic sensors [12].…”

Section: Introductionmentioning

confidence: 99%

Rangeability extension of fiber-optic low-coherence measurement based on cascaded multistage fiber delay line

Zou

et al. 2012

Appl. Opt.

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We demonstrate a simple method to extend the measurable fiber length with a fiber-optic low-coherence technique. This method is based on a cascaded structure of multistage fiber delay line laid in one arm of the low-coherence technique. By choosing different individual stages in the cascaded fiber delay line, the length of the fiber under test can be continuously measured with a different measurement range. The measurement range of 0.81 km and spatial resolution of 60 μm are successfully realized.

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A Calibration Method of a Range Finder With a Six-Port Network

Cited by 15 publications

References 7 publications

Vital-Signs Detector Based on Frequency-Shift Keying Radar

Vital-Signs Detector Based on Frequency-Shift Keying Radar

A 24‐GHz radar sensor with a six‐port network for short‐range detection

Rangeability extension of fiber-optic low-coherence measurement based on cascaded multistage fiber delay line

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