Joint Mitigation of IQ Imbalance and Power Amplifier Impairments by Real Valued Time Delay Neural Networks

2019-08-22
Yeşil, Soner
Gürtunca, Burak
Yılmaz, Ali Özgür
This paper represents a neural network based joint mitigation of the IQ imbalance and power amplifier nonlinearities that cause degradation in the transmit signal quality of the wireless communication systems. A Real Valued Time Delay Neural Network architecture for this purpose has been verified on a hardware including cascaded NXP-MD8IC925 and NXPBLF8G10LS power amplifier components performing a total of 46dB gain. The test setup has been controlled over MATLAB in order to have a closed loop adaptive digital predistortion. The test results showed approximately 24dB, 19dB and 14dB performance improvements for the in-band, first and second adjacent channels, respectively.

Suggestions

An experimental study on Power Amplifier linearisation by artificial neural networks Yapay Sinir Aǧlari ile Güç Yükselteç Doǧrusalląstirma Amaçli Deneysel Bir Çalisma
Yesil, Soner; Kolagasioglu, Ahmet Ertugrul; Yılmaz, Ali Özgür (2018-07-05)
This paper represents an experimental study on the linearisation of Power Amplifiers especially on high output power regions by utilizing an artificial neural network structure and open-loop training method. For the same in-band output power, 9dB EVM and 6dB ACLR improvement has been observed on hardware by feeding the proposed digital predistortion signal (DPD) to the PA under test.
Cooperative relaying schemes for narrow-band frequency hopping wireless ad hoc networks
Yenihayat, Güven; Onat, Furuzan Atay; Kolaǧasioǧlu, Ertuǧrul; Yılmaz, Ali Özgür (2011-08-29)
Cooperative relaying is a promising technique for improving the performance of weak communication links in wireless networks by exploiting spatial diversity induced by relay transmissions. This paper considers cooperative relaying schemes for a narrow- band frequency hopping system. A novel hybrid relaying scheme called opportunistic hybrid relaying, which is specifically designed for this system, is presented. Unlike most relaying schemes in the literature, opportunistic hybrid relaying uses bandwidth effi...
Asymptotic solution of the radial wave equation for optical fiber wavequides
Cildlr, Sema; Çakır, Serhat (2006-08-26)
In this study, analytic solutions were studied for propagation of electromagnetic waves in cylindrical fiber optic cable. An asymptotic approach was used to solve radial wave equation The solution was derived for zero order eigenvalue equation. It was found that this solution is more general than other methods. By using a computer program was obtained some diagrams for core and cladding region for different eigenvalue equations and modes.
Multimedia communication in wireless sensor networks
Gurses, E; Akan, OB (2005-07-01)
The technological advances in Micro ElectroMechanical Systems (MEMS) and wireless communications have enabled the realization of wireless sensor networks (WSN) comprised of large number of low-cost, low-power multifunctional sensor nodes. These tiny sensor nodes communicate in short distances and collaboratively work toward fulfilling the application specific objectives of WSN. However, realization of wide range of envisioned WSN applications necessitates effective communication protocols which can address ...
Communication Coverage in Wireless Passive Sensor Networks
Bereketli, Alper; Akan, Ozgur B. (2009-02-01)
System lifetime of wireless sensor networks (WSN) is inversely proportional to the energy consumed by critically energy-constrained sensor nodes during RF transmission. In that regard, modulated backscattering (MB) is a promising design choice, in which sensor nodes send their data just by switching their antenna impedance and reflecting the incident signal coming from an RF source. Hence, wireless passive sensor networks (WPSN) designed to operate using MB do not have the lifetime constraints of convention...
Citation Formats
S. Yeşil, B. Gürtunca, and A. Ö. Yılmaz, “Joint Mitigation of IQ Imbalance and Power Amplifier Impairments by Real Valued Time Delay Neural Networks,” 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/57984.