MODIFIED MAXIMUM AUTO-CORRELATION ESTIMATION FOR CHAOTIC INITIAL CONDITION MODULATION SCHEME | ||
| Journal of Engineering and Sustainable Development | ||
| Article 1, Volume 20, Issue 1, February 2016, Pages 84-89 | ||
| Authors | ||
| Hikmat Najem Abdullah; Ibrahim Fahmi Ali | ||
| Abstract | ||
| In this paper, an efficient technique for initial condition estimation of chaotic map in binary phase shift keying initial condition modulation (BPSK-ICM) scheme is proposed. This technique is named maximum autocorrelation estimation (MACE). The proposed scheme reduces the complexity of the chaotic demodulator thereby minimizing the hardware implementation cost. Simulation results confirm that the proposed technique outperforms the conventional technique used in direct sequence spread spectrum (DS-SS) system. In AWGN channel and at bit error rate (BER) of 10-3, the results showed that the proposed BPSK-ICM scheme achieves a gain in Eb/N0 of 1.5 dB over DS-SS system with the same value of the processing gain for both systems. | ||
| Keywords | ||
| chaotic communication; parameter modulation; BPSK Modulation; maximum autocorrelation estimation | ||
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