A Multi-Interference-Channel Matrix Pair Beamformer for CDMA Systems
Jian Wang, Jianshu Chen, Jian Yuan, Ning Ge, Shuangqing Wei

TL;DR
This paper introduces a novel multi-interference-channel matrix pair beamformer for CDMA systems that effectively suppresses structured interference and maintains stable performance under increasing interference power.
Contribution
It proposes a new design principle for the projection space in MPBs and develops an adaptive MIC-MPB that addresses threshold effects in structured interference scenarios.
Findings
The proposed MIC-MPB has a small, bounded threshold despite increasing interference.
Simulation results demonstrate improved interference suppression over existing MPBs.
The adaptive algorithm enhances robustness in dynamic channel conditions.
Abstract
Matrix pair beamformer (MPB) is a promising blind beamformer which exploits the temporal signature of the signal of interest (SOI) to acquire its spatial statistical information. It does not need any knowledge of directional information or training sequences. However, the major problem of the existing MPBs is that they have serious threshold effects and the thresholds will grow as the interference power increases or even approach infinity. In particular, this issue prevails in scenarios with structured interference, such as, periodically repeated white noise, tones, or MAIs in multipath channels. In this paper, we will first present the principles for designing the projection space of the MPB which are closely correlated with the ability of suppressing structured interference and system finite sample performance. Then a multiple-interference-channel based matrix pair beamformer…
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Taxonomy
TopicsDirection-of-Arrival Estimation Techniques · Speech and Audio Processing · Blind Source Separation Techniques
