Title
Sub-band equalization of modulated wideband converter for improved dynamic range performance.
Abstract
In this work, we propose a new method to improve the dynamic range performance of the Modulated Wideband Converter (MWC), which is multi-channel sampling system for digitizing wideband sparse signals below the Nyquist limit without loss of information by using compressive sensing techniques. MWC achieves high dynamic range assuming that subband frequency responses of the system are identical. However, in hardware implementations of MWC, the resulting sub-band frequency responses are not identical and dynamic range performance of the system drops significantly which makes it unusable in practical applications. Proposed method iteratively designs FIR filters for equalizing frequency responses of the all sub-bands. Obtained results from the extensive computer simulations of the MWC system show that proposed method improves the dynamic range performance of the MWC system significantly.
Year
Venue
Keywords
2017
Signal Processing and Communications Applications Conference
MWC,sparse,compressive sensing,sub-Nyquist sampling,band equalization FIR filter
Field
DocType
ISSN
Equalization (audio),Nyquist frequency,Control theory,Computer science,Electronic engineering,Artificial intelligence,Finite impulse response,Compressed sensing,Computer vision,Wideband,Dynamic range,Frequency modulation,High dynamic range
Conference
2165-0608
Citations 
PageRank 
References 
0
0.34
4
Authors
4
Name
Order
Citations
PageRank
Ali Bugra Korucu101.69
Y. K. Alp267.34
Gokhan Gok305.07
Orhan Arikan418039.45