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首页> 外文期刊>IEEE Journal on Selected Areas in Communications >Robust joint interference detection and decoding for OFDM-based cognitive radio systems with unknown interference
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Robust joint interference detection and decoding for OFDM-based cognitive radio systems with unknown interference

机译：未知干扰的基于OFDM的认知无线电系统的鲁棒联合干扰检测和解码

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摘要

Cognitive radio technology facilitates spectrum reuse and alleviates spectrum crunch. One fundamental problem in cognitive radio is to avoid the interference caused by other communication systems sharing the same frequency band. However, spectrum sensing cannot guarantee accurate detection of the interference in many practical situations. Hence, it is crucial to design robust receivers to combat the in-band interference. In this paper, we first present a simple pilot aided interference detection method. To combat the residual interference that cannot be detected by the interference detector, we further propose a robust joint interference detection and decoding scheme. By exploiting the code structure in interference detection, the proposed scheme can successfully detect most of the interfered symbols without requiring the knowledge of the interference distribution. Our simulation results show that, even without any prior knowledge of the interference distribution, the proposed joint interference detection and decoding scheme is able to achieve a performance close to that of the maximum likelihood decoder with the full knowledge of the interference distribution
机译：认知无线电技术促进频谱重用并减轻频谱紧缩。认知无线电中的一个基本问题是避免由共享相同频带的其他通信系统引起的干扰。但是，频谱感测不能保证在许多实际情况下都能准确检测到干扰。因此，设计健壮的接收机以应对带内干扰至关重要。在本文中，我们首先提出一种简单的导频辅助干扰检测方法。为了克服干扰检测器无法检测到的残余干扰，我们进一步提出了一种鲁棒的联合干扰检测和解码方案。通过在干扰检测中利用代码结构，所提出的方案可以成功地检测大多数被干扰符号，而无需了解干扰分布。我们的仿真结果表明，即使在没有任何干扰分布先验知识的情况下，所提出的联合干扰检测和解码方案也能够在完全了解干扰分布的情况下达到接近最大似然解码器的性能。

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