Matrix-Based Signal Reconstruction and Narrowband Interference Suppression in DSSS Systems

Abstract

Spectrum congestion and malicious interference exacerbate narrowband interference (NBI) in wideband direct sequence spread spectrum (DSSS) systems. To address this, we propose a matrix-based signal reconstruction and NBI suppression method using the MBSBL-FM algorithm. By exploiting row and column correlations and block structure information, the proposed approach enhances signal recovery and NBI recognition. We establish a relationship between hyperparameters and signal power, introducing an objective suppression criterion. Additionally, we analyze NBI tolerance to improve practical applicability. Simulations confirm its effectiveness in reconstructing signals, reducing sampling rate requirements, and maintaining robust performance under NBI. The proposed principle can also be extended to other types of spread spectrum (SS) systems.