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Environment-adaptable efficient optimization for programming of reconfigurable radio frequency (RF) receivers

Publication ,  Conference
Jun, M; Negi, R; Tao, J; Wang, YC; Yin, S; Mukherjee, T; Li, X; Pileggi, L
Published in: Proceedings IEEE Military Communications Conference MILCOM
November 13, 2014

Software defined radio has been developed for supporting multi-standard radio receivers, but remains vulnerable to interference. In order to overcome this interference challenge, this paper proposes replacing the fixed wide-band Radio Frequency (RF) front-end in software radio receivers with a reconfigurable RF front-end. We show that a software radio with an optimally chosen reconfigurable RF front-end outperforms fixed RF software radios, when the latter suffers from inter-modulation of blockers caused by non-linearity of its RF front-end. Moreover, we propose a fast optimization algorithm for selecting an optimal configuration of the reconfigurable RF front-end in radio environments with interference. This algorithm selects from among the available configurations of the RF front-end, and improves SINR by adapting to the blockers present, while requiring only a small number of trials to select the appropriate configuration. Thus, a reconfigurable RF front-end, when used in conjunction with a software radio, can effectively realize the development of multi-standard wireless communication systems.

Duke Scholars

Published In

Proceedings IEEE Military Communications Conference MILCOM

DOI

Publication Date

November 13, 2014

Start / End Page

1459 / 1465
 

Citation

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Jun, M., Negi, R., Tao, J., Wang, Y. C., Yin, S., Mukherjee, T., … Pileggi, L. (2014). Environment-adaptable efficient optimization for programming of reconfigurable radio frequency (RF) receivers. In Proceedings IEEE Military Communications Conference MILCOM (pp. 1459–1465). https://doi.org/10.1109/MILCOM.2014.241
Jun, M., R. Negi, J. Tao, Y. C. Wang, S. Yin, T. Mukherjee, X. Li, and L. Pileggi. “Environment-adaptable efficient optimization for programming of reconfigurable radio frequency (RF) receivers.” In Proceedings IEEE Military Communications Conference MILCOM, 1459–65, 2014. https://doi.org/10.1109/MILCOM.2014.241.
Jun M, Negi R, Tao J, Wang YC, Yin S, Mukherjee T, et al. Environment-adaptable efficient optimization for programming of reconfigurable radio frequency (RF) receivers. In: Proceedings IEEE Military Communications Conference MILCOM. 2014. p. 1459–65.
Jun, M., et al. “Environment-adaptable efficient optimization for programming of reconfigurable radio frequency (RF) receivers.” Proceedings IEEE Military Communications Conference MILCOM, 2014, pp. 1459–65. Scopus, doi:10.1109/MILCOM.2014.241.
Jun M, Negi R, Tao J, Wang YC, Yin S, Mukherjee T, Li X, Pileggi L. Environment-adaptable efficient optimization for programming of reconfigurable radio frequency (RF) receivers. Proceedings IEEE Military Communications Conference MILCOM. 2014. p. 1459–1465.

Published In

Proceedings IEEE Military Communications Conference MILCOM

DOI

Publication Date

November 13, 2014

Start / End Page

1459 / 1465