We propose generalized partially information coupled (PIC) polar codes and their construction method. In the proposed codes, each code block (CB) shares systematic information bits partially with J adjacent CBs on each side, where J is referred to as the coupling depth. The conventional PIC polar code is a special case of the generalized PIC polar codes for J = 1. We modify the polar CB decoding and propose various inter-CB decoding schemes which apply to the code of arbitrary coupling depth J. We also propose a low complexity evaluation method for the error rate of the generalized PIC polar codes, without channel generation and decoding operation. Numerical results show that this approximate evaluation is very accurate. It is verified by simulation that more coding gain can be attained for J ≥ 2. Finally, we compare the decoding complexities of the conventional inter-CB decoding algorithms and the proposed algorithms with which a lower decoding complexity is achieved without performance degradation. INDEX TERMS Partially information coupled codes, polar codes, spatial coupling, successive cancellation list decoding.
In this paper, we propose a new EIM(erasure insertion method) based on the average-minimal-noise-power for HOM(higher order modulation) over AWGN(additive white Gaussian noise) under PBJ(partial-band jamming).Then we design SFH/SS(slow-frequency-hopping spread-spectrum) system by applying this method and formulate the PER(packet error rate) of the system. Based on this formula, we propose a new method to set the optimal threshold of the EIM and verify it at the designed 16-QAM SFH/SS system.
In this paper, we propose a design and decoding schemes for concatenated codes that can be applied to the PBJ channel using a FHSS system. RS codes and polar codes are considered as the outer codes of the proposed concatenated codes, and inner codes are designed so that one inner code corresponds to one hop with a polar code. In order to improve the finite length performance of polar codes, concatenating with CRC bits is preferred
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.