A multi-resolution filter bank and fuzzy logic based channel edge detector for military wideband radio receivers

2012 ◽  
Author(s):  
Dhabu Sumedh ◽  
K. G. Smitha ◽  
A. P. Vinod
Keyword(s):  
Fuzzy Logic ◽  
Filter Bank ◽  
Edge Detector ◽  
Radio Receivers ◽  
Wideband Radio ◽  
Channel Edge

scholarly journals Quad channel software defined receiver for passive radar application

2017 ◽  
Vol 66 (1) ◽  
pp. 5-16 ◽  
Author(s):  
Tamás Pető ◽  
Rudolf Seller
Keyword(s):  
Real Data ◽  
Direction Finding ◽  
Passive Radar ◽  
Radio Receivers ◽  
Receiver System ◽  
Wide Range ◽  
Radar Applications ◽  
Video Broadcast ◽  
Digital Video Broadcast ◽  
Wideband Radio

Abstract In recent times the growing utilization of the electromagnetic environment brings the passive radar researches more and more to the fore. For the utilization of the wide range of illuminators of opportunity the application of wideband radio receivers is required. At the same time the multichannel receiver structure has also critical importance in target direction finding and interference suppression. This paper presents the development of a multichannel software defined receiver specifically for passive radar applications. One of the relevant feature of the developed receiver platform is its up-to-date SoC (System on hip) based structure, which greatly enhance the integration and signal processing capacity of the system, all while keeping the costs low. The software defined operation of the discussed receiver system is demonstrated with using DVB-T (Digital Video Broadcast – Terrestrial) signal as illuminator of opportunity. During this demonstration the multichannel capabilities of the realized system are also tested with real data using direction finding and beamforming algorithms.

A tree-structured DFT filter bank based spectrum detector for estimation of radio channel edge frequencies in cognitive radios

2013 ◽  
Vol 9 ◽  
pp. 45-60 ◽  
Author(s):  
M. Narendar ◽  
A.P. Vinod ◽  
A.S. Madhukumar ◽  
Anoop Kumar Krishna
Keyword(s):  
Filter Bank ◽  
Radio Channel ◽  
Cognitive Radios ◽  
Channel Edge

Modeling and mitigation of nonlinear distortion in wideband A/D converters for cognitive radio receivers

2010 ◽  
Vol 2 (2) ◽  
pp. 183-192 ◽  
Author(s):  
Markus Allén ◽  
Jaakko Marttila ◽  
Mikko Valkama
Keyword(s):  
Cognitive Radio ◽  
Nonlinear Distortion ◽  
Dynamic Range ◽  
Digital Signal ◽  
Analog To Digital ◽  
Radio Receivers ◽  
Integral Nonlinearity ◽  
Cognitive Radio Receivers ◽  
Clipping Distortion ◽  
Wideband Radio

This article discusses the reduction of nonlinearities in analog-to-digital (A/D) converters using digital signal processing (DSP). Also modeling of certain essential nonlinearities is considered in detail. The main focus is on wideband radio receivers, such as the emerging cognitive radio applications, where a collection of signals at different frequency channels is converted to digital domain as a whole. Therefore, the overall dynamic range can easily be in the order of tens of dBs and thus even mild nonlinear distortion can cause strong carriers to block weaker signal bands. In this article, a mathematical model for clipping distortion due to improper input signal conditioning is derived through Fourier analysis. Additionally, stemming from the analysis an adaptive DSP-based post-processing method for reducing the effects of clipping and integral nonlinearity (INL) in A/D converters is presented with illustrative examples using both computer simulations and laboratory radio signal measurements.

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