Using the ninth pulse of enhanced Loran (eLoran) chain, it is possible to send various messages through Pulse Position Modulation (PPM) and Reed-Solomon (RS) coding. The eLoran receiver should be able to estimate the location of the ninth pulse with an error of less than 1 microsecond, to extract the message. In order to estimate the location of the ninth pulse in the receiver, the method of third zero crossing detection of eighth and ninth pulse chains, like Half-Cycle Peak Ratios (HCPR), are commonly used in the receiver. In this paper, an enhanced algorithm has been proposed to improve performance of the Loran data channel in the AWGN Noisy environments. In this algorithm, instead of using two pulses, each nine pulses in the GRI chain are used to estimate the location of the ninth pulse. Simulation results show that the efficiency of proposed algorithm is better than existing methods of HCPR, especially at low SNR channels.
afifi, A., alikhani, S., & khorrami, A. (2020). Improving Algorithm of Loran data receiver for noisy Channels. Electronics Industries, 11(2), 33-42.
MLA
ahmad afifi; saeid alikhani; Abazar khorrami. "Improving Algorithm of Loran data receiver for noisy Channels". Electronics Industries, 11, 2, 2020, 33-42.
HARVARD
afifi, A., alikhani, S., khorrami, A. (2020). 'Improving Algorithm of Loran data receiver for noisy Channels', Electronics Industries, 11(2), pp. 33-42.
VANCOUVER
afifi, A., alikhani, S., khorrami, A. Improving Algorithm of Loran data receiver for noisy Channels. Electronics Industries, 2020; 11(2): 33-42.
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