http://www.iaeme.com/IJAERT/index.asp 1993 editor@iaeme.com International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 11, Issue 12, December 2020, pp.1993-2005, Article ID: IJARET_11_12_189 Available online at http://www.iaeme.com/IJARET/issues.asp?JType=IJARET&VType=11&IType=12 ISSN Print: 0976-6480 and ISSN Online: 0976-6499 DOI: 10.34218/IJARET.11.12.2020.189 © IAEME Publication Scopus Indexed OPTIMAL DESIGN OF CMOS BIQUAD BANDPASS FILTER USING MLP-ANN T Muruganantham Assistant Professor, Department of Electronics and Communication Engineering, K Ramakrishnan College of Engineering, Trichy, Tamilnadu, India G Mohan Professor, Department of Electrical and Electronics Engineering, Annamalai University, Chidambaram, Tamilnadu, India M Maheswari Professor, Department of Electronics and Communication Engineering, K Ramakrishnan College of Engineering, Trichy, Tamilnadu, India C Jeyalakshmi Associate Professor, Department of Electronics and Communication Engineering, K Ramakrishnan College of Engineering, Trichy, Tamilnadu, India ABSTRACT In recent days the requirement of various kinds of filters has been increased for wirelesscommunication and the primary effort on a resourceful practice to design and synthesize the Bandpass filter for different wireless application is presented. This paper proposes the 2 nd order CMOS based active bandpass filter with biquad structure and characterized by Artificial Neural Network (ANN). The cross-coupled PMOS transistors are utilized to achieve bandpass response and the centre frequency of the designed filter is 28 KHz. The proposed structure improves the filter performance by 1.2 V and produces 1.62 uV/sqrt (Hz) while consuming 47.19 nW. At the same time the inductorless approach makes the circuit non bulkier for achieving bandpass response for variety of applications in communication. The design parameters of bandpass filter is optimized by Multi layer perceptron Neural Network with the parameters obtained from simulation results. However both the results are merely equal and hence indcates that our design is optimal. Key words: CMOS biquad,Noise,Power,Multilayer perceptron,Bandpass filter,ANN