Radiometric observability estimation of military E quipme NT samples in a mill imeter-wave band

Antyufeev, Valeriy Ivanovich; Bykov, V. N.; Grichaniuk, A.M.; Krayucshkin, V.A.; Shilo, S.A.

doi:10.1109/msmw.2004.1345818

Cited by 1 publication

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“…The millimeter wave (mmWave) technology, with its high resolution and the advantage of penetrability in dealing with insulating materials like paper, clothing, and fog, is now an important topic in radar imaging [1]. It has been applied in various fields, such as medical diagnostics [2,3], security screening [4][5][6], military fields [7,8], and nondestructive testing [9][10][11][12]. A vital component of these mmWave imaging systems is the in-phase and quadrature (IQ) demodulation which its performance can affect the imaging quality.…”

Section: Introductionmentioning

confidence: 99%

BPSK Modulation‐Based Local Oscillator‐Free IQ Demodulation for Millimeter Wave Imaging

et al. 2021

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The precision of local oscillator (LO) signal in in-phase and quadrature (IQ) demodulation strongly affects the imaging performance of millimeter wave (mmWave) radars. Therefore, to eliminate the requirement for high-precision LO, a simple yet effective digital IQ demodulation method has been proposed with the aid of a specified sampling scheme in order to eliminate the demand for LO. Based on the bandpass sampling theorem, the characteristic of the intermediate frequency signal of mmWave imaging indicates that the LO is unrequired if the sampling rate is twice of the frequency of the carrier of the intermediate signal. In this way, the in-phase signal would be directly and accurately obtained by performing the Binary-Phase-Shift-Keying (BPSK) modulation on the samples, based on which the IQ demodulation would be completed by using the Hilbert transform. The proposed method does not employ LO and thus simplifies the demodulation process and is suitable for implementation in a Field-Programmable Gate Array (FPGA) with fewer hardware resources. To verify the method, a three-dimensional mmWave radar imaging is carried out at the 30-34 GHz bandwidth, where the sampling and digital IQ demodulation are realized by an ADC (AD9250) and FPGA (XC7K325T), respectively. The results show a simplified transceiver with lower requirements and the prospect of the proposed method being applied in radar imaging and other related fields.

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