Coupling matrix synthesis of cross-coupled microwave filters using a hybrid optimisation algorithm

Nicholson, Gemma; Lancaster, M.J.

doi:10.1049/iet-map.2008.0145

Cited by 28 publications

(34 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The third part coded in floating number represents the corresponding electrical parameters. In the MGA, a set of basic circuit elements can be seen as a chromosome [15,16]. Thus, an arbitrary two-port circuit can be represented by a chromosome.…”

Section: Genetic Algorithmmentioning

confidence: 99%

A Novel Approach to Design of Microstrip Uwb Bandpass Filter Using Modified Genetic Algorithm

Peng¹,

Zhao²,

Zhang³

et al. 2014

PIER M

View full text Add to dashboard Cite

Abstract-A novel approach to design microstrip ultra-wideband (UWB) bandpass filter (BPF) using modified genetic algorithm (MGA) is proposed in this paper. To achieve high efficiency and accuracy, conventional GA is modified. By improving the fitness evaluation, selection, crossover, and mutation, the two possible drawbacks of conventional GA, i.e., slow rate of convergence and local-best solution, are overcome. The modified genetic algorithm is then applied to simultaneously search for the appropriate circuit topology and the corresponding electrical parameters with UWB characteristic. To demonstrate the effectiveness of the novel approach, a new microstrip UWB BPF is designed and fabricated. Measurement results agree well with the design index and full-wave EM simulated results.

show abstract

Section: Genetic Algorithmmentioning

confidence: 99%

A Novel Approach to Design of Microstrip Uwb Bandpass Filter Using Modified Genetic Algorithm

Peng¹,

Zhao²,

Zhang³

et al. 2014

PIER M

View full text Add to dashboard Cite

show abstract

“…Many cost functions [5][6][7][8][9][10] minimize the cost by evaluating the amplitude of S 21 and S 11 at the critical frequencies such as, transmission zeros, reflection zeros and passband edges, and compare them to the ideal polynomial response. In [6,7], the cost function was constructed from the related eigenvalues of matrix with initial coupling matrix by solving the Jacobi inverse eigenvalue problem.…”

Section: Cost Functions and Optimization Algorithmmentioning

confidence: 99%

“…In [6,7], the cost function was constructed from the related eigenvalues of matrix with initial coupling matrix by solving the Jacobi inverse eigenvalue problem. Zeros and poles were used to construct the cost function in [8][9][10], requiring less iterations along with better chances of convergence compared to other techniques. But in some case, the frequency response from the obtained solution is very different with the original one when the optimization process falls into local optimum from an initial value far from global minimum.…”

Section: Cost Functions and Optimization Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

Accurate Coupling Matrix Synthesis for Microwave Filters With Random Initial Value

Li¹

2014

PIER C

View full text Add to dashboard Cite

Abstract-A hybrid optimization method that synthesizes coupling matrices for cross-coupled microwave filters is presented. This method consists of a general solvopt algorithm and fmincon algorithm, respectively. To avoid divergence from the coupling matrix, two cost functions are built, where the first one is constructed from the eigenvalues of the coupling matrix and its principal submatrices, while another one is dependent on the determinant of the coupling matrix and one of its cofactors. The values of non-zero elements of the coupling matrix serve as the independent variables to minimize the cost functions by using solvopt and fmincon. Although the stochastic initial values are not sufficiently close to the global optimum, the hybrid optimization procedure is still robust to find multiple coupling matrices to overcome the initial problem. It is significant that the suitable coupling matrix can be chosen from the multiple solutions to meet the given requirements in practice. For demonstrating the proposed hybrid optimization algorithm, some extraordinary prototype topologies are provided which validate the efficiency of the proposed synthesis procedure.

show abstract

“…The third part coded in floating number represents the corresponding electrical parameters. In the VGA, we define a basic circuit element as a gene and a set of basic circuit elements as a chromosome [22,23]. Therefore, an arbitrary two-port circuit can be represented by a chromosome.…”

Section: Uwb Bandpass Filter Designmentioning

confidence: 99%

Compact Microstrip Uwb Bandpass Filter With Triple-Notched Bands

Zhao¹,

Wang²,

Li³

2013

PIER C

View full text Add to dashboard Cite

Abstract-A new microstrip ultra-wideband (UWB) bandpass filter (BPF) with triple-notched bands is presented in this paper. The circuit topology and its corresponding electrical parameters of the initial microstrip UWB BPF are desired by a variation of genetic algorithm (VGA). Then, triple-notched bands inside the UWB passband are implemented by coupling a square ring short stub loaded resonator (SRSSLR) to the main transmission line of the initial microstrip UWB BPF. The triple-notched bands can be easily generated and set at any desired frequencies by varying the designed parameters of SRSSLR. For verification, a microstrip UWB BPF with triple-notched bands respectively centered at frequencies of 4.3 GHz, 5.8 GHz, and 8.1 GHz is designed and fabricated. Simulated and experimental results are in good agreement.

show abstract

Coupling matrix synthesis of cross-coupled microwave filters using a hybrid optimisation algorithm

Cited by 28 publications

References 14 publications

A Novel Approach to Design of Microstrip Uwb Bandpass Filter Using Modified Genetic Algorithm

A Novel Approach to Design of Microstrip Uwb Bandpass Filter Using Modified Genetic Algorithm

Accurate Coupling Matrix Synthesis for Microwave Filters With Random Initial Value

Compact Microstrip Uwb Bandpass Filter With Triple-Notched Bands

Contact Info

Product

Resources

About