Difference Between Two Minima Normalized Min-Sum Algorithm For The LDPC Decoder

Tóm tắt

This study proposes the Difference Between Two Minima Normalized Min-Sum (DMNMS) algorithm for layered scheduling, which is suggested for implementing 5G New Radio Low-Density Parity-Check codes. The proposed algorithm aims to reduce memory space and enhance error correction performance. By applying modified factors to both variable nodes and check nodes processing, the DMNMS method goals to strengthen the protection ability for degree-1 variable nodes and compensate for the overestimation of extrinsic messages in Min-Sum-based algorithms. The suggested technique also used the difference between the first two minimum values and the first minimum among the input information, rather than compressing the check to variable messages to deliver the first two minima. Simulation data indicated that the proposed DMNMS algorithm performs better than the Normalized Min-Sum method, achieving up to 0.07 dB of decoding gain at a Bit Error Rate of 10⁻⁶ while using less memory.