This paper will present a technique for array diagnosis using a small number of measured data acquired by a near-field system by making use of the concepts of compressed sensing technique in image processing. Here, the high cost of large array diagnosis in near-field facilities is mainly caused by the time required for the data acquisition. So there is a need to decrease the measurement time and at the same time the reconstruction of an array must be satisfactory. The proposed technique uses less number of measurement points compared to other proposed techniques like back-propagation method and standard matrix inversion method. Keywords: Arrays, Compressed sensing, near fiel
Data compression technology is one of the effective measures to improve the wireless data transmiss...
In this work, differential evolution based compressive sensing technique for detection of faulty sen...
Compressed sensing is a fast growing field in signal and image processing. If x is a given vector wh...
International audienceA compressed sensing based approach is proposed in order to diagnose reflectar...
International audienceIn this contribution the use of ℓ1 weighted minimization for the diagnosis of ...
A compressed sensing based array diagnosis technique has been presented. This technique starts from ...
With a higher demand of communication systems and the ever-growing presence of connected devices, th...
A method to filter out the contribution of interference sources in array diagnosis is proposed. The ...
Around 2006 the signal processing community was thrilled when the concept of Compressed Sensing was ...
Abstract—In this contribution the use of ℓ1 weighted mini-mization for the diagnosis of arrays from ...
International audienceThe fast diagnosis of antenna arrays from a small number of far-field measurem...
In this work, differential evolution based compressive sensing technique for detection of faulty sen...
A Compressed Sensing/Sparse Recovery approach is adopted in this paper for the accurate diagnosis of...
International audienceA compressive sensing approach is proposed to speed up the measurement of ante...
This paper presented a compressive sensing (CS) calibration technique that simultaneously measures a...
Data compression technology is one of the effective measures to improve the wireless data transmiss...
In this work, differential evolution based compressive sensing technique for detection of faulty sen...
Compressed sensing is a fast growing field in signal and image processing. If x is a given vector wh...
International audienceA compressed sensing based approach is proposed in order to diagnose reflectar...
International audienceIn this contribution the use of ℓ1 weighted minimization for the diagnosis of ...
A compressed sensing based array diagnosis technique has been presented. This technique starts from ...
With a higher demand of communication systems and the ever-growing presence of connected devices, th...
A method to filter out the contribution of interference sources in array diagnosis is proposed. The ...
Around 2006 the signal processing community was thrilled when the concept of Compressed Sensing was ...
Abstract—In this contribution the use of ℓ1 weighted mini-mization for the diagnosis of arrays from ...
International audienceThe fast diagnosis of antenna arrays from a small number of far-field measurem...
In this work, differential evolution based compressive sensing technique for detection of faulty sen...
A Compressed Sensing/Sparse Recovery approach is adopted in this paper for the accurate diagnosis of...
International audienceA compressive sensing approach is proposed to speed up the measurement of ante...
This paper presented a compressive sensing (CS) calibration technique that simultaneously measures a...
Data compression technology is one of the effective measures to improve the wireless data transmiss...
In this work, differential evolution based compressive sensing technique for detection of faulty sen...
Compressed sensing is a fast growing field in signal and image processing. If x is a given vector wh...