Improved genetic algorithm for the design of the optimal antenna division in sub-arrays: a multi-objective genetic algorithm

Golino, G.

doi:10.1109/radar.2005.1435903

Cited by 6 publications

(7 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The objective functions in the MOEA could be the mean for different positions of the target, the mean CRB (Cramer-Rao Bound) of the target azimuth/elevation estimation, the mean PSLs of sum adapted pattern in the azimuth/elevation plane, and so forth [28]. But the set of optimum solutions is obtained after the subarray optimization through MOEA.…”

Section: Subarray Configuration Optimization For Eccmmentioning

confidence: 99%

“…Similarly, Farina with different coauthors has given creative and pioneering contributions to the following aspects, including subarrayed weighting for SLC [25,26], subarrayed adaptation and superresolution [25][26][27], and subarray optimization [25,28]. Lombardo and his co-authors contributed great achievements to subarrayed adaptive processing and pattern control [29,30], SASP for thinned arrays [31,32], while Massa et al contributed in the fields of subarrayed weighting, synthesis of sum and difference patterns for monopulse [33][34][35][36]; Liao et al in the field of subarrayed 2 International Journal of Antennas and Propagation ABF, subarrayed STAP and subarray architectures [23,37,38]; Wang et al in the field of subarrayed STAP and subarray configuration [39][40][41][42]; Klemm in the field of the design of the subarray configuration for STAP [43], and so forth.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Aspects of the Subarrayed Array Processing for the Phased Array Radar

Hang

2015

International Journal of Antennas and Propagation

View full text Add to dashboard Cite

This paper gives an overview on the research status, developments, and achievements of subarrayed array processing for the multifunction phased array radar. We address some issues concerning subarrayed adaptive beamforming, subarrayed fast-time space-time adaptive processing, subarray-based sidelobe reduction of sum and difference beam, subarrayed adapted monopulse, subarrayed superresolution direction finding, subarray configuration optimization in ECCM (electronic counter-countermeasure), and subarrayed array processing for MIMO-PAR. In this review, several viewpoints relevant to subarrayed array processing are pointed out and the achieved results are demonstrated by numerical examples.

show abstract

Section: Subarray Configuration Optimization For Eccmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Aspects of the Subarrayed Array Processing for the Phased Array Radar

Hang

2015

International Journal of Antennas and Propagation

View full text Add to dashboard Cite

show abstract

“…They have been proven efficient to finding the proper excitations or the suitable division of the arrays in sub-arrays in order the antenna to produce a desired radiation pattern with respect to the SLL and the directions of the nulls or to optimize the antenna by broadening the frequency bandwidth [11,[15][16][17][33][34][35]. GAs have also been used to thin an array [18], in combination with Particle Swarm Optimization Technique to modify sparse arrays [21] or to modify fractal arrays [29,36].…”

Section: Optimization By Genetic Algorithmsmentioning

confidence: 99%

Novel Fractal Antenna Arrays for Satellite Networks: Circular Ring Sierpinski Carpet Arrays Optimized by Genetic Algorithms

Siakavara¹

2010

PIER

View full text Add to dashboard Cite

Abstract-A novel fractal antenna-array type is proposed. The design is based on the Sierpinski rectangular carpet concept. However, the generator is a circular ring area, filled with radiating elements, so the higher stages of the fractal development produce large arrays of circular rings which, besides the high directivity, have the advantage of the almost uniform azimuthal radiation pattern, attribute that many applications require. The introduced arrays can operate as direct radiating multi-beam phased arrays and meet the requirements of satellite communications links: high End of Coverage (EOC) directivity, low Side Lobe Level (SLL) and high Career to Interference ratio (C/I). These operational indices were further optimized by a synthesized multi-objective and multi-dimensional Genetic Algorithm (GA) which, additionally, gave arrays no more than 120 elements.

show abstract

“…However, LFSR is a useful building block for pseudo random number generation when complemented by further complexity to prevent attacks based on its inherent linearity. From a hardware perspective, LFSR can be created by using a chain of flip-flops.It is well known that genetic algorithm possess very interesting function approximation capabilities [7,8] . Their most important and intriguing property are their optimization capabilities.…”

mentioning

confidence: 99%

“…It is well known that genetic algorithm possess very interesting function approximation capabilities [7,8] . Their most important and intriguing property are their optimization capabilities.…”

mentioning

confidence: 99%

Evolutionary random sequence generators based on LFSR

Zhang

Wang

et al. 2007

Wuhan Univ. J. of Nat. Sci.

View full text Add to dashboard Cite

Random numbers play a crucial role in modern security schemes. Couple to the rapid development of cryptography, the strength of security protocols and encryption algorithms consumingly relies on the quality of random number. With simple architecture and faster speed, linear feedback shift register often is selected in many applications. However, the random sequence generated by LFSR can not meet the demand of unpredictability for secure mechanism. Genetic algorithm improves the linear property of LFSR and constructs a novel random sequence generator with longer period and complex architecture.With the development of cryptography, the need for random numbers of high quality is sharply growing. Public/private keypairs for asymmetric algorithms are generated from random bit streams [1,2] ; random numbers are also used for key generation in symmetric algorithms for generating challenges in authentication protocols to create padding bytes and blinding values [3] . In the Smart Card, countermeasures against side-channel attacks can also require the availability of good quality random number source [4] . The security of many cryptographic systems depends on the assumption that future values in the random sequence can be unpredictable [5] .Linear feedback shift registers (LFSR) are one class of generators for random sequence, and are suited to low power or high speed requirements [6] . LFSR sequence are not considered on their own to provide an adequate strength random bit stream because the dependency between the output bits and the inner state can be modeled by a system of linear equations. However, LFSR is a useful building block for pseudo random number generation when complemented by further complexity to prevent attacks based on its inherent linearity. From a hardware perspective, LFSR can be created by using a chain of flip-flops.It is well known that genetic algorithm possess very interesting function approximation capabilities [7,8] . Their most important and intriguing property are their optimization capabilities. This operation is also a kind of nonlinear operation, which is needed in the nonlinear design of LFSR. In this paper, exploiting genetic algorithm, a novel random bit sequence based on LFSR is constructed.

show abstract

Improved genetic algorithm for the design of the optimal antenna division in sub-arrays: a multi-objective genetic algorithm

Cited by 6 publications

References 3 publications

Aspects of the Subarrayed Array Processing for the Phased Array Radar

Aspects of the Subarrayed Array Processing for the Phased Array Radar

Novel Fractal Antenna Arrays for Satellite Networks: Circular Ring Sierpinski Carpet Arrays Optimized by Genetic Algorithms

Evolutionary random sequence generators based on LFSR

Contact Info

Product

Resources

About