TY - GEN
T1 - Generation of optimal distribution sets for single-ring cylindrical arc arrays
AU - Brann, C. W.
AU - Virga, K. L.
N1 - Funding Information:
Acknowledgment. This work was supported in part by the University of Arizona Foundation and the Office of the VP of Research at the Univ. of Arizona. dB
Publisher Copyright:
© 1998 IEEE.
PY - 1998
Y1 - 1998
N2 - An important class of conformal array antennas for modern military and commercial communications systems is a single-ring arc array. In arc arrays, the array synthesis must be performed for a partial sector of the entire cylindrical array. Cylindrical arc array pattern synthesis is complicated because the apparent spacing between the elements at various observation angles is not equal nor constant with angle. The element and array factors are not always separable and therefore the pattern function is not a simple polynomial. This precludes the use of the mature linear array synthesis methods that have allowed one to conveniently link polynomial-based distribution functions for linear arrays to their pattern performance. To obtain the distribution functions, a design program based upon genetic algorithm (GA) optimization was developed. The emphasis of this paper is not the development of the best GA, but the utilization of GA in generating the optimal distribution sets to understand the physics behind are arrays. The GA optimizes the array amplitude and phase coefficients, given the array radius, the total number of elements around the entire ring, and the number of exited elements.
AB - An important class of conformal array antennas for modern military and commercial communications systems is a single-ring arc array. In arc arrays, the array synthesis must be performed for a partial sector of the entire cylindrical array. Cylindrical arc array pattern synthesis is complicated because the apparent spacing between the elements at various observation angles is not equal nor constant with angle. The element and array factors are not always separable and therefore the pattern function is not a simple polynomial. This precludes the use of the mature linear array synthesis methods that have allowed one to conveniently link polynomial-based distribution functions for linear arrays to their pattern performance. To obtain the distribution functions, a design program based upon genetic algorithm (GA) optimization was developed. The emphasis of this paper is not the development of the best GA, but the utilization of GA in generating the optimal distribution sets to understand the physics behind are arrays. The GA optimizes the array amplitude and phase coefficients, given the array radius, the total number of elements around the entire ring, and the number of exited elements.
UR - http://www.scopus.com/inward/record.url?scp=0031638313&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0031638313&partnerID=8YFLogxK
U2 - 10.1109/APS.1998.702043
DO - 10.1109/APS.1998.702043
M3 - Conference contribution
AN - SCOPUS:0031638313
SN - 0780344782
SN - 9780780344785
T3 - IEEE Antennas and Propagation Society International Symposium, 1998 Digest - Antennas: Gateways to the Global Network - Held in conjunction with: USNC/URSI National Radio Science Meeting
SP - 732
EP - 735
BT - IEEE Antennas and Propagation Society International Symposium, 1998 Digest - Antennas
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1998 IEEE Antennas and Propagation Society International Symposium, APSURSI 1998
Y2 - 21 June 1998 through 26 June 1998
ER -