eprintid: 706
rev_number: 8
eprint_status: archive
userid: 4
dir: disk0/00/00/07/06
datestamp: 2016-03-14 16:07:39
lastmod: 2016-03-14 16:07:39
status_changed: 2016-03-14 16:07:39
type: thesis
metadata_visibility: show
creators_name: Saldykova, G.
title: Synthesis of Clustered Arrays based on Total Variation Compressive Sensing

ispublished: pub
subjects: MCS
subjects: MEA
full_text_status: public
keywords: Compressive Sensing, Array Synthesis, Local Optimization, Array Synthesis.
abstract: Clustered arrays (i.e., arrays using only few different amplifiers) with contiguous sub-arrays (i.e., each sub-array does not interleave with the others) are of great importance in those scenarios where the modularity of the layout has a major importance to reduce the fabrication and maintenance costs (e.g., in radar, satellite, and biomedical applications). Accordingly, several strategies have been proposed in the past to synthesize clustered arrays exploiting the minimum number of different amplifiers. In this framework, the use of Total Variation Compressive Sensing strategies seem to represent a suitable candidate to efficiently solving clustered array synthesis problems. Indeed, the synthesis problem can be recasted in a TV sense by assuming that the unknown is represented by the array excitation, which have to match a desired radiated pattern (through the well-known Green radiation operator) with the "sparsest derivative" (i.e., with the minimum number of different amplifiers). The objective of this project is to implement the overall synthesis strategy starting from the available solvers and synthesis blocks, and to test it for a set of standard test cases in linear arrangements.
date: 2015-09-27
date_type: completed
institution: University of Trento
department: ELEDIA Research Center @ DISI
thesis_type: bachelor
referencetext: [1]	A. Massa, P. Rocca, and G. Oliveri, "Compressive sensing in electromagnetics - A review," IEEE Antennas and Propagation Magazine, pp. 224-238, vol. 57, no. 1, Feb. 2015.
[2]	G. Oliveri and A. Massa, "Bayesian compressive sampling for pattern synthesis with maximally sparse non-uniform linear arrays," IEEE Trans. Antennas Propag., vol. 59, no. 2, pp. 467-481, Feb. 2011.
[3]	G. Oliveri, M. Carlin, and A. Massa, "Complex-weight sparse linear array synthesis by Bayesian Compressive Sampling," IEEE Trans. Antennas Propag., vol. 60, no. 5, pp. 2309-2326, May 2012.
[4]	G. Oliveri, P. Rocca, and A. Massa, "Reliable diagnosis of large linear arrays - A Bayesian Compressive Sensing approach," IEEE Trans. Antennas Propag., vol. 60, no. 10, pp. 4627-4636, Oct. 2012.
[5]	F. Viani, G. Oliveri, and A. Massa, "Compressive sensing pattern matching techniques for synthesizing planar sparse arrays," IEEE Trans. Antennas Propag., vol. 61, no. 9, pp. 4577-4587, Sept. 2013. 
[6]	M. Carlin, G. Oliveri, and A. Massa, “Hybrid BCS-deterministic approach for sparse concentric ring isophoric arrays,” IEEE Trans. Antennas Propag., vol. 63, no. 1, pp. 378-383, Jan. 2015
[7]	P. Rocca, L. Manica, R. Azaro, and A. Massa, "A hybrid approach for the synthesis of sub-arrayed monopulse linear arrays," IEEE Trans. Antennas Propag. , vol. 57, no. 1, pp. 280-283, Jan. 2009. 
[8]	L. Manica, P. Rocca, and A. Massa, "An excitation matching procedure for sub-arrayed monopulse arrays with maximum directivity," IET Radar, Sonar & Navigation, vol. 3, no. 1, pp. 42-48, Feb. 2009. 
[9]	P. Rocca, L. Manica, and A. Massa, "An effective excitation matching method for the synthesis of optimal compromises between sum and difference patterns in planar arrays," Progress in Electromagnetic Research B, vol. 3, pp. 115-130, 2008.
[10]	P. Rocca, L. Manica, and A. Massa, "Directivity optimization in planar sub-arrayed monopulse antenna," Progress in Electromagnetic Research L, vol. 4, pp. 1-7, 2008.
[11]	G. Oliveri, "Multi-beam antenna arrays with common sub-array layouts," IEEE Antennas Wireless Propag. Lett., vol. 9, pp. 1190-1193, 2010.
[12]	L. Manica, P. Rocca, G. Oliveri, and A. Massa, "Synthesis of multi-beam sub-arrayed antennas through an excitation matching strategy," IEEE Trans. Antennas Propag., vol. 59, no. 2, pp. 482-492, Feb. 2011. 
[13]	L. Manica, P. Rocca, and A. Massa, "Design of subarrayed linear and planar array antennas with SLL control based on an excitation matching approach," IEEE Trans. Antennas Propag., vol. 57, no. 6, pp. 1684-1691, Jun. 2009.

citation:   Saldykova, G.  (2015) Synthesis of Clustered Arrays based on Total Variation Compressive Sensing.  Bachelor thesis, University of Trento.   
document_url: http://www.eledia.org/students-reports/706/1/Abstract.A529.pdf