Highly Linear High-Frequency Low-Noise Amplifier Design at ISM Band

Bahadori-Jahromi, Farhad; Zareian-Jahromi, Seyyed Jafar

doi:10.1007/s11277-018-5954-4

Cited by 5 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This highlights the fact that the performance of the low-noise amplifier constrains the overall performance of the transmitting system. It also significantly contributes to enhancing the overall technical level of the system [55][56][57][58]. Therefore, the fundamental requirements for low-noise amplifiers include a low-noise figure, sufficient power gain, good operating stability, and a large dynamic range [59,60].…”

Section: Plos Onementioning

confidence: 99%

Catalyzing satellite communication: A 20W Ku-Band RF front-end power amplifier design and deployment

Chen,

Wang,

Zhang

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

This paper presents a groundbreaking Ku-band 20W RF front-end power amplifier (PA), designed to address numerous challenges encountered by satellite communication systems, including those pertaining to stability, linearity, cost, and size. The manuscript commences with an exhaustive discussion of system design and operational principles, emphasizing the intricacies of low-noise amplification, and incorporating key considerations such as noise factors, stability analysis, gain, and gain flatness. Subsequently, an in-depth study is conducted on various components of the RF chain, including the pre-amplification module, driver-amplification module, and final-stage amplification module. The holistic design extends to the inclusion of the display and control unit, featuring the power-control module, monitoring module, and overall layout design of the PA. It is meticulously tailored to meet the specific demands of satellite communication. Following this, a thorough exploration of electromagnetic simulation and measurement results ensues, providing validation for the precision and reliability of the proposed design. Finally, the feasibility of that design is substantiated through systematic system design, prototype production, and exhaustive experimental testing. It is noteworthy that, in the space-simulation environmental test, emphasis is placed on the excellent performance of the Star Ku-band PA within the 13.75GHz to 14.5GHz frequency range. Detailed power scan measurements reveal a P1dB of 43dBm, maintaining output power flatness < ± 0.5dBm across the entire frequency and temperature spectrum. Third-order intermodulation scan measurements indicate a third-order intermodulation of ≤ -23dBc. Detailed results of power monitoring demonstrate a range from +18dBm to +54dBm. Scans of spurious suppression and harmonic suppression, meanwhile, show that the PA evinces spurious suppression ≤ -65dBc and harmonic suppression ≤ -60dBc. Rigorous phase-scan measurements exhibit a phase-shift adjustment range of 0° to 360°, with a step of 5.625°, and a phase-shift accuracy of 0.5dB. Detailed data from gain-scan measurements show a gain-adjustment range of 0dB to 30dB, with a gain flatness of ± 0.5dB. Attenuation error is ≤ 1%. These test parameters perfectly align with the practical application requirements of the technical specifications. When compared to existing Ku-band PAs, our design reflects a deeper consideration of specific requirements in satellite communication, ensuring its outstanding performance and uniqueness. This PA features good stability, high linearity, low cost, and compact modularity, ensuring continuous and stable power output. These features position the proposed system as a leader within the market. Successful orbital deployment not only validates its operational stability; it also makes a significant contribution to the advancement of China’s satellite PA technology, generating positive socio-economic benefits.

show abstract

Section: Plos Onementioning

confidence: 99%

Catalyzing satellite communication: A 20W Ku-Band RF front-end power amplifier design and deployment

Chen,

Wang,

Zhang

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…A further analysis on the performance of the proposed LNA design had been presented in Table 6, where the performance measures of the proposed design had been compared with counterpart design in literature [24][25][26][27][28][29][30]. When compared to [24], the proposed design achieves better gain performance, while the other performance measures seem a bit better, it should be noted that the results given in [24] are only simulated results. In comparison between [25,26,28] although the designs have similar gain the counterpart either has worse return loss or 1 dB compression points compared to the proposed design.…”

Section: Design Optimization Of Low Noise Amplifiermentioning

confidence: 99%

Surrogate based design optimization of low noise amplifier for ISM band

BELEN¹

2022

Sigma J Eng Nat Sci - Sigma Müh Fen Bil Derg

View full text Add to dashboard Cite

Design optimization of microwave circuits is a crucial matter for microwave engineers. For the last decades, researchers had been studying surrogate models for a computationally efficient design optimization process. Artificial Intelligence based algorithms had been used for modelling of complex microwave stages such as antenna, amplifiers and frequency selective surfaces. In this study, design optimization of a Low Noise Amplifier (LNA) based on surrogate models for both transistor stage and input & output matching circuits had been presented. Support Vector Regression Machine had been used for creating surrogate models of a microwave transistor and a non-uniform transmission line for having a fast and accurate LNA design optimization process alongside a low profile and high performance LNA using on-uniform transmission lines. By using this methodology, not only designer can create a mapping for missing points in the sparse sample S parameter data points provided by manufacturers but also the overall simulation duration can be significantly reduced thanks to the fast nature of surrogates compared to EM simulators. Here, the proposed surrogate models had been used alongside of Particle Swarm Optimization algorithm to determine optimal geometrical values of input/output matching networks. Then the obtained designs are prototyped and measured. The measured results are also compared with the performance results of counterpart design in literature. As for results, not only the proposed methodology is an effective, fast and reliable method for computationally efficient design optimization process of LNA but also provides better results than the counterpart design in literature.

show abstract