Noise Reduction In High Frequency Amplifiers Using Transmission Lines To Provide Feedback
Tech ID: 32792 / UC Case 2019-970-0
Background
Low noise amplifiers are ubiquitous in wireless data network receivers and radios. The
maximum transmission distance is limited by the receiver noise which is mostly determined by the noise figure of the first amplifier stage, the LNA. Reduction of LNA noise is thus always desirable in that it can increase transmission range or reduce power consumption resulting in higher performance or reduced system cost. This approach lowers the noise of the LNA relative to the other available methods.
Technology Description
Noise canceling Low noise amplifiers typically use local resistive feedback to provide scaled sampling of the main amplifier noise. Providing this feedback using a lossless transmission line structure eliminates the resistor noise even further reducing the overall LNA noise figure. Additionally proper transistor sizing can be added to naturally provide improved linearity.
Feedback amplifier designs are widely used in low-noise amplifier (LNA) designs. In general, the adoption of feedback architectures in LNA designs are useful for gain desensitization, bandwidth broadening and increased linearity. In the mmWave frequency range, small wavelengths make transmission lines practical for use in IC designs. The invention uses a transmission line feedback path to realize the benefits of a feedback amplifier without introducing additional noise via the feedback network.
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)
Applications
Wireless data network receivers and radios
Advantages
- Lower noise than alternative approaches
- Improved linearity in noise canceling LNAs.
- Use of a noiseless transmission line network as a substitute for a resistor in feedback amplifier designs
Intellectual Property Information
United States Of America |
Issued Patent |
11,736,074 |
08/22/2023 |
2019-970 |
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