A Bayesian Compressive Sensing Approach to Robust Near-Field Antenna Characterization

نویسندگان

چکیده

A novel probabilistic sparsity-promoting method for robust near-field (NF) antenna characterization is proposed. It leverages on the measurements-by-design (MebD) paradigm, and it exploits some a priori information under test (AUT) to generate an overcomplete representation basis. Accordingly, problem at hand reformulated in compressive sensing (CS) framework as retrieval of maximally sparse distribution (with respect basis) from reduced set measured data, then, solved by means Bayesian strategy. Representative numerical results are presented to, also comparatively, assess effectiveness proposed approach reducing “burden/cost” acquisition process mitigate (possible) truncation errors when dealing with space-constrained probing systems.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Unmanned aerial vehicle field sampling and antenna pattern reconstruction using Bayesian compressed sensing

Antenna 3D pattern measurement can be a tedious and time consuming task even for antennas with manageable sizes inside anechoic chambers. Performing onsite measurements by scanning the whole 4π [sr] solid angle around the antenna under test (AUT) is more complicated. In this paper, with the aim of minimum duration of flight, a test scenario using unmanned aerial vehicles (UAV) is proposed. A pr...

متن کامل

Robust Dequantized Compressive Sensing

We consider the reconstruction problem in compressed sensing in which the observations are recorded in a finite number of bits. They may thus contain quantization errors (from being rounded to the nearest representable value) and saturation errors (from being outside the range of representable values). Our formulation has an objective of weighted l2-l1 type, along with constraints that account ...

متن کامل

Light Field Compressive Sensing

This paper presents a novel approach to capture light field in camera arrays based on the compressive sensing framework. Light fields are captured by a linear array of cameras with overlapping field of view. In this work, we design a redundant dictionary to exploit cross-cameras correlated structures in order to sparsely represent cameras image. We show experimentally that the projection of com...

متن کامل

Compressive Sensing Based Approach to the Design of Linear Robust Sparse Antenna Arrays with Physical Size Constraint

In sparse arrays, the randomness of antenna locations avoids the introduction of grating lobes, while allowing adjacent antenna spacings to be greater than half a wavelength. This means a larger array size can be implemented using a relatively small number of antennas. However, careful consideration has to be given to antenna locations to ensure that an acceptable performance level is achieved....

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Transactions on Antennas and Propagation

سال: 2022

ISSN: ['1558-2221', '0018-926X']

DOI: https://doi.org/10.1109/tap.2022.3177528