A 1-2 GHz SFCW radar for landmine detection

Langman, Alan W.; Inggs, M.R.

doi:10.1109/comsig.1998.737003

Cited by 3 publications

(2 citation statements)

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“…The SFCW radar generates the data by sweeping over the frequency band using a predefined number of steps. The frequency hopping over a larger bandwidth requires some time, therefore, this is the main drawback of SFCW radars applied to the ground penetrating radar applications [13][14][15][16][17]. The advantage of such designed system is a high sensitivity and a larger bandwidth.…”

Section: Introductionmentioning

confidence: 99%

Cross-Hole GPR for Soil Moisture Estimation Using Deep Learning

et al. 2023

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This paper presents the design of a high-voltage pulse-based radar and a supervised data processing method for soil moisture estimation. The goal of this research was to design a pulse-based radar to detect changes in soil moisture using a cross-hole approach. The pulse-based radar with three transmitting antennas was placed into a 12 m deep hole, and a receiver with three receive antennas was placed into a different hole separated by 100 m from the transmitter. The pulse generator was based on a Marx generator with an LC filter, and for the receiver, the high-frequency data acquisition card was used, which can acquire signals using 3 Gigabytes per second. Used borehole antennas were designed to operate in the wide frequency band to ensure signal propagation through the soil. A deep regression convolutional network is proposed in this paper to estimate volumetric soil moisture using time-sampled signals. A regression convolutional network is extended to three dimensions to model changes in wave propagation between the transmitted and received signals. The training dataset was acquired during the period of 73 days of acquisition between two boreholes separated by 100 m. The soil moisture measurements were acquired at three points 25 m apart to provide ground truth data. Additionally, water was poured into several specially prepared boreholes between transmitter and receiver antennas to acquire additional dataset for training, validation, and testing of convolutional neural networks. Experimental results showed that the proposed system is able to detect changes in the volumetric soil moisture using Tx and Rx antennas.

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Section: Introductionmentioning

confidence: 99%

Cross-Hole GPR for Soil Moisture Estimation Using Deep Learning

et al. 2023

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“…A drawback compared with FMCW radars is the acquisition time, which is longer. A popular use of the SFCW radar principle is in Ground-Penetrating Radar (GPR) applications [ 11 , 12 , 13 , 14 , 15 ], where small objects‘ detection was presented. Due to the fact that the signal travels through a highly lossy medium—soil—the sensitivity of such a sensor is crucial.…”

Section: Introductionmentioning

confidence: 99%

SFCW Radar with an Integrated Static Target Echo Cancellation System

Šipoš

Gleich

2021

Sensors

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Continuous Wave (CW) radars systems, especially air-coupled Ground-Penetrating Radar (GPR) or Through-Wall Imaging Radar (TWIR) systems, echo signals reflected from a stationary target with high energy, which may cause receiver saturation. Another effect caused by reflection of stationary targets is noticeable as background within a radargram. Nowadays, radar systems use automatic gain control to prevent receiver saturation. This paper proposes a method to remove stationary targets automatically from the received signal. The method was designed for a radar system with a moving platform, with an assumption that the distance between the surface and target is constant. The design is proposed of an SFCW radar with an integrated system for real-time multiple static target Echo Cancellation (EC). The proposed EC system removes the static target using active Integrated Circuit (IC) components, which generate the corresponding EC signal for each frequency step of the SFCW radar and sum it with the received echo signal. This has the main advantage of removing even multiple echoes at any distance, and excludes the need for a high-dynamic-range receiver. Additionally, the proposed system has minimal impact on the radar size and power consumption. Besides static target removal, the antenna coupling can be removed if the signal appears to be constant. The operating frequency was selected between 500 MHz and 2.5 GHz, due to the limitation of the used electronic components. The experimental results show that the simulated target’s echo using a cable with a known length could be suppressed to up to 38 dB. Experimental results using a moving radar platform and the real environment scenario with static and dynamic targets, show that the proposed EC system could achieve up to 20 dB attenuation of the static target. The system does not affect any other target of interest, which can even move at any distance during the measurement. Therefore, this could be a promising method for further compact implementation into SFCW radars, or any other radar type that generates CW single frequencies.

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An alternative approach for wall parameters estimation in through wall imaging system

Kaushal

Singh

2015

2015 National Conference on Recent Advances in Electronics &Amp; Computer Engineering (RAECE)

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A 1-2 GHz SFCW radar for landmine detection

Cited by 3 publications

References 1 publication

Cross-Hole GPR for Soil Moisture Estimation Using Deep Learning

Cross-Hole GPR for Soil Moisture Estimation Using Deep Learning

SFCW Radar with an Integrated Static Target Echo Cancellation System

An alternative approach for wall parameters estimation in through wall imaging system

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