Super-resolution near-field structure (super-RENS) read-out samples are affected by a nonlinear and noncausal channel, which results in intersymbol interference. Some of these nonlinearities are caused by domain bloom or asymmetry, which is an imperfection in the disc. In this study, we investigate the effect of the domain bloom on the super-RENS read-out signal. For this, we employ the asymmetric symbol conversion scheme to generate asymmetric symbols corresponding to a bit pattern and apply the linear modeling approach to model the read-out channel with a finite impulse response filter. The modeling performance is verified with the causal and noncausal filters in terms of normalized mean square error. The performance of the approach considered here is compatible with that of the Volterra filter, whereas the approach maintains a lower complexity than the Volterra filter.

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Satellite communication has a broadband property and wide area coverage. It is also vulnerable to jamming because of the utilization of open channels. In this paper, a satellite transponder adopts a polyphase filter bank structure, which allows flexible frequency management while a nulling scheme was applied to remove narrowband interference signal of a filter bank sub-channel. For this satellite transponder, jamming, polyphase filter bank and nulling scheme are introduced, and in the simulation, we evaluate the performance of the anti-jamming system in terms of BER and PSNR by transceiving random data and images under various jamming environments.