Error Performance of Subsampling Digital Power Estimation for Integrated Receivers

2021 ◽  
Author(s):  
Aymen Khaleel ◽  
Ertan Zencir ◽  
Hasan Aksoy
Keyword(s):  
Automatic Gain Control ◽  
Estimation Error ◽  
Gain Control ◽  
Power Estimation ◽  
Building Blocks ◽  
Signal Power ◽  
Error Performance ◽  
Signal Simulation ◽  
Integrated Receivers ◽  
Integrated Receiver

Estimation of signal power levels at the output of integrated receiver building blocks is a vital function as the block voltage or power gains are set based on sensed power levels to maintain constant levels at block outputs in the receiver chain. RF and IF level real-time gain settings are determined with Automatic Gain Control (AGC) loops. AGC loop circuit topologies are usually based on analog detection circuits. These analog power detection circuits are based on techniques such as envelope detection, and logarithmic amplification usually accompanied by severe accuracy issues such as Process, Voltage and Temperature (PVT) spreads preventing correct gain adjustments. Adopting a dominantly digital approach to detect the signal power would ensure a significant reduction in PVT spreads. This work presents a review of the subsampling digital power estimation to create low power digital power estimations alternative to analog methods. The simulations of the method are applied to an AM and a 64-QAM signal. Simulation results show that the power estimation error is within the acceptable level of [Formula: see text][Formula: see text]dB.

Design of Robust Quantizers for Low-Bit Analog-to-Digital Converters for Gaussian Source

2019 ◽  
Vol 28 (supp01) ◽  
pp. 1940002 ◽  
Author(s):  
Milan R. Dinčić ◽  
Zoran H. Perić ◽  
Dragan B. Denić ◽  
Zoran Stamenković
Keyword(s):  
Energy Consumption ◽  
Communication Systems ◽  
Mimo Systems ◽  
Automatic Gain Control ◽  
Gain Control ◽  
Analog To Digital Converters ◽  
Signal Power ◽  
Analog To Digital ◽  
Wide Range ◽  
Gaussian Source

This paper considers the design of robust logarithmic [Formula: see text]-law companding quantizers for the use in analog-to-digital converters (ADCs) in communication system receivers. The quantizers are designed for signals with the Gaussian distribution, since signals at the receivers of communication systems can be very well modeled by this type of distribution. Furthermore, linearization of the logarithmic [Formula: see text]-law companding function is performed to simplify hardware implementation of the quantizers. In order to reduce energy consumption, low-resolution quantizers are considered (up to 5 bits per sample). The main advantage of these quantizers is high robustness — they can provide approximately constant SNR in a wide range of signal power (this is very important since the signal power at receivers can vary in wide range, due to fading and other transmission effects). Using the logarithmic [Formula: see text]-law companding quantizers there is no need for using automatic gain control (AGC), which reduces the implementation complexity and increases the speed of the ADCs due to the absence of AGC delay. Numerical results show that the proposed model achieves good performances, better than a uniform quantizer, especially in a wide range of signal power. The proposed low-bit ADCs can be used in MIMO and 5G massive MIMO systems, where due to very high operating frequencies and a large number of receiving channels (and consequently a large number of ADCs), the reduction of ADC complexity and energy consumption becomes a significant goal.

scholarly journals Measuring Current in a Power Converter Using Fuzzy Automatic Gain Control

2021 ◽  
Vol 11 (13) ◽  
pp. 5793
Author(s):  
Bartosz Dominikowski
Keyword(s):  
High Resolution ◽  
Fuzzy Controller ◽  
Automatic Gain Control ◽  
Gain Control ◽  
Measurement Range ◽  
Power Converter ◽  
Current Measurement ◽  
Dc Power ◽  
Programmable Gain ◽  
Electric Loads

The accuracy of current measurements can be increased by appropriate amplification of the signal to within the measurement range. Accurate current measurement is important for energy monitoring and in power converter control systems. Resistance and inductive current transducers are used to measure the major current in AC/DC power converters. The output value of the current transducer depends on the load motor, and changes across the whole measurement range. Modern current measurement circuits are equipped with operational amplifiers with constant or programmable gain. These circuits are not able to measure small input currents with high resolution. This article proposes a precise loop gain system that can be implemented with various algorithms. Computer analysis of various automatic gain control (AGC) systems proved the effectiveness of the Mamdani controller, which was implemented in an MCU (microprocessor). The proposed fuzzy controller continuously determines the value of the conversion factor. The system also enables high resolution measurements of the current emitted from small electric loads (≥1 A) when the electric motor is stationary.

Dual cavity optical automatic gain control for EDFAs

2003 ◽  
Author(s):  
M.F. Krol ◽  
Yongqian Liu ◽  
J.J. Watkins ◽  
D.W. Lambert
Keyword(s):  
Automatic Gain Control ◽  
Gain Control

Automatic Gain Control in Tv Automation

1957 ◽  
Vol PGBTS-8 (1) ◽  
pp. 6-9
Author(s):  
M. H. Diehl ◽  
W. J. Hoffman ◽  
W. L. Shepard
Keyword(s):  
Automatic Gain Control ◽  
Gain Control
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