Performance Analysis of the Spectral Correlation Discriminator Array |
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Authors: | Petrus Paul Reed Jeffrey H. |
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Affiliation: | (1) Mobile and Portable Radio Research Group (MPRG), Department of Electrical Engineering, Virginia Polytechnic Institute and State University, 840 Pointe West Commons, University City Boulevard, Suite #1, Blacksburg, VA-, 24061 |
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Abstract: | Mobile communications suffer from cochannel interference, adjacent channel interference and fading. The cell capacity or the number of users per cell is limited by the interference. In this paper we analyze a new blind adaptive array structure called the spectral correlation discriminator array (SCDA), designed to reject cochannel interference for advanced mobile phone service (AMPS) signals. The blind adaptive array exploits the spectral redundancy in the AMPS signals which arises due to the presence of the supervisory audio tone (SAT). SCDA is shown to provide an improvement of 25–30 dB in signal-to-interference plus noise ratio (SINR) in static multipath channels and 10–15 dB improvement of SINR in Rayleigh fading channels. The SCDA is compared to the least squares constant modulus array (LSCMA) and is shown to have better signal selectivity properties. The reduction in interference power can significantly reduce the frequency reuse factor. |
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Keywords: | spectral corrlation discriminator array least squares constant modulus array supervisory audio tone advanced mobile phone service cyclic autocorrelation function spectral correlation density function. |
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