Wideband microstrip passband filter by using ADS software

Wireless Sensor (WS) node design, most critical issue is to minimize power consumption. Power model for Wireless Sensor Network (WSN) incorporates power characteristics of node hardware components and software strategies. WS node design should also consider the power loss due to the RF segment of node. RF segment is designed based on transmission line theory, which if not designed properly may result in losses due to impedance mismatch and unwanted reflections. In this paper we have simulated the microstrip tracks designed for WS node to account for the power loss and in turn optimize the design. Advanced Design Simulation (ADS) software has been used for RF layout simulation. To validate the simulation results the designed layouts were fabricated and tested for RF power received with spectrum analyzer. Simulation and practical observations are discussed in this paper.

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“…In [8], author has simulated the microstrip pass band filter in ADS. Same has been used for RF layout analysis by the authors in this paper.…”

Section: Literature Surveymentioning

confidence: 99%

ADS based Analysis for Wireless Sensor Node

Daiya¹,

Ebenezer²,

SatyaMurty³

2015

IJERT

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“…17,18 In contrast, most embedded optimization tools, which are capable of optimizing passive circuits, such as filters and antennas, are time consuming and fail to provide a satisfactory solution to active circuit design, particularly when dealing with complicated active circuits. 19,20 In this regard, it is considered valuable to develop a simulation-driven optimization platform specifically designed for complex active circuit designs, such as DPA.…”

Section: Introductionmentioning

confidence: 99%

“…In order to overcome this problem, many built‐in optimizers have been used in commercial electronic design automation (EDA) software to optimize DPA circuits, including simulated annealing optimization, gradient optimization, and others 17,18 . In contrast, most embedded optimization tools, which are capable of optimizing passive circuits, such as filters and antennas, are time consuming and fail to provide a satisfactory solution to active circuit design, particularly when dealing with complicated active circuits 19,20 . In this regard, it is considered valuable to develop a simulation‐driven optimization platform specifically designed for complex active circuit designs, such as DPA.…”

Section: Introductionmentioning

confidence: 99%

Automatic multi‐objective particle swarm optimization method for effective Doherty power amplifier design

Hao,

Qu,

Huang

et al. 2024

Int J Numerical Modelling

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In this paper, an automatic multi‐objective particle swarm optimization (AMOPSO) method is developed for the design of Doherty power amplifiers (DPAs). In comparison to the well‐known built‐in optimizer available in commercial simulators, the proposed method not only reduces the optimization time, but also provides superior power added efficiency (PAE) for the final power amplifier. According to the reported measurements, the output PAE of the fabricated DPA exceeds 50% at 6 dB backoff, the saturated PAE is more than 61%, and the saturated output power (Pout) is over 43 dBm in the target frequency range of 1.9–2.1 GHz. As compared with existing optimization methods, the proposed method allows reducing optimization time by more than 37%.

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“…It sometimes leads to the algorithm not converging. Secondly, because it is an approximation response between two spaces, so generally curve fitting method is used, this method takes a long time, which reduces the advantage of the space mapping algorithm in efficiency [5,6]. In the parameter extraction process, the Cauchy method is introduced in this paper.…”

Section: Introductionmentioning

confidence: 99%

Design of a silicon-based wideband bandpass filter using aggressive space mapping

Zhang

2018

IEICE Electron. Express

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The auxiliary diagnosis and debugging of filters play an increasingly important role in the design of microwave filters. In particular, aggressive space mapping (ASM) is one of the most commonly used debugging methods. This paper introduces ASM and designs a seventhorder microstrip interdigital filter with a center frequency of 24 GHz and a fractional bandwidth of 25% with ASM. The filter reached design indexes after four iterations, which greatly reduces the number of simulations in fine model, thereby saving time. It was fabricated on high resistance silicon substrate and the size of the chip is 6.8 mm × 2.4 mm × 0.4 mm. The measurement results show that the fabricated filter has a center frequency of 24 GHz, a fractional bandwidth of 24.17%, an insertion loss of 1.95 dB, a return loss of 12 dB, and an out-of-band rejection of 40 dB.

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Wideband microstrip passband filter by using ADS software

Cited by 3 publications

References 16 publications

ADS based Analysis for Wireless Sensor Node

ADS based Analysis for Wireless Sensor Node

Automatic multi‐objective particle swarm optimization method for effective Doherty power amplifier design

Design of a silicon-based wideband bandpass filter using aggressive space mapping

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