The Low-Complexity and Anti-Interference LDPC Decoding Techniques for Deep-Space Communication

Abstract

Driven by the stringent demands of the sixth-generation (6G) networks and future deep-space exploration for ultra-reliable and high-throughput wireless transmission, advanced channel coding schemes have become increasingly critical. While Low-Density Parity-Check (LDPC) codes are widely adopted for their near-Shannon-limit error-correction performance, the extremely low signal-to-noise ratio (SNR) in deep-space channels and severely constrained onboard computing resources pose significant challenges. Traditional high-complexity decoding architectures struggle to balance massive throughput with minimal hardware overhead. Against this backdrop, this survey systematically reviews low-complexity and anti-interference LDPC decoding technologies for deep-space communication. It first clarifies the basic definitions and methods of deep-space communication channels and LDPC codes. Then it reviews recent advances in low-complexity decoder architectures and anti-interference adaptive decoding techniques. The analysis reveals key limitations: insufficient co-design of low complexity and anti-interference capabilities, and limited flexibility/reconfigurability of hardware implementations. Future research strategies include adaptive integrated systems and Artificial Intelligence (AI)-assisted decoding, reconfigurable hardware, and compact AI units on the device. The survey offers a straightforward blueprint in constructing deep-space comm systems and supports the theory of advanced LDPC decoding strategies related to practical systems.