Microwave Photonic Down-Conversion with Large Image Rejection Ratio Utilizing Digital Signal Processing

2016 ◽  
Author(s):  
Peixuan Li ◽  
Xihua Zou ◽  
Wei Pan ◽  
Lianshan Yan
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal ◽  
Image Rejection ◽  
Microwave Photonic ◽  
Rejection Ratio ◽  
Image Rejection Ratio ◽  
Down Conversion

scholarly journals DESIGN OF FREQUENCY INDEPENDENT DIGITAL IQ IMBALANCE COMPENSATOR FOR RECEIVERS

2018 ◽  
pp. 40-48
Author(s):  
I. Yu. Gridin
Keyword(s):  
Digital Signal ◽  
Signal Quality ◽  
Ratio Estimation ◽  
Image Rejection ◽  
Rejection Ratio ◽  
Iq Imbalance ◽  
Analog Front End ◽  
Frequency Independent ◽  
Negative Effect ◽  
Image Rejection Ratio

Derivation of IQ imbalance in IQ receivers because of non-idealities of analog front-end has a significant negative effect on received signal quality and serious RF system performance degradation. Thereat the RF designers have an objective to create and improve compact and stand-alone methods of IQ imbalance compensation which provide best possible Image Rejection Ratio (IRR). The DSP-based methods of compensation are the most perspective. In this paper described one of version of autonomous and adaptive frequency independent IQ imbalance compensation algorithm which can be implemented as an IP that which can be used in different SoC for RF applications. The calculation method is based on digital signal statistic estimation with real-time convergence of compensation coefficients to the goal values which provide best image rejection. The results of algorithm’s processing for different input values with different IQ imbalance values are presented with max and min image rejection ratio estimation.

Method of estimation of hidden correlation of narrowband noise signals

2019 ◽  
pp. 34-39 ◽  
Author(s):  
E.I. Chernov ◽  
N.E. Sobolev ◽  
A.A. Bondarchuk ◽  
L.E. Aristarhova
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
New Technology ◽  
Digital Signal ◽  
Measuring Instruments ◽  
Central Frequency ◽  
Pearson Criterion ◽  
Useful Signal ◽  
Band Limited ◽  
Narrowband Noise

The concept of hidden correlation of noise signals is introduced. The existence of a hidden correlation between narrowband noise signals isolated simultaneously from broadband band-limited noise is theoretically proved. A method for estimating the latent correlation of narrowband noise signals has been developed and experimentally investigated. As a result of the experiment, where a time frag ent of band-limited noise, the basis of which is shot noise, is used as the studied signal, it is established: when applying the Pearson criterion, there is practically no correlation between the signal at the Central frequency and the sum of signals at mirror frequencies; when applying the proposed method for the analysis of the same signals, a strong hidden correlation is found. The proposed method is useful for researchers, engineers and metrologists engaged in digital signal processing, as well as developers of measuring instruments using a new technology for isolating a useful signal from noise – the method of mirror noise images.

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