基于约简支持向量机的非等错误保护自适应多码混沌CDMA

J. Kao, S. Berber, V. Kecman
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引用次数: 2

摘要

本文提出了一种基于多码混沌的CDMA (MC-CB-CDMA)系统的支持向量机接收机。与传统的多码CDMA不同,为每个用户分配多个扩展码的主要目的是在不使用进一步的纠错编码(ECC)的情况下对传输数据提供不等的错误保护。此外,本文提出的SVM接收机通过递归特征消去算法进一步简化,使其比传统的相关接收机具有更低的复杂度。改进后的接收机在控制系统中的错误保护级别方面也非常灵活。仿真结果与相关器接收机进行了比较,发现支持向量机接收机具有多用户检测能力,从而获得了巨大的性能增益。推导了相关器和支持向量机接收机的理论误差概率,并通过仿真结果进行了验证。
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Adaptive Multi-Code Chaos-Based CDMA with Unequal Error Protection Using Reduced Support Vector Machine
In this paper, we propose a support vector machine receiver for a multi-code Chaos-based CDMA (MC-CB-CDMA) system. Unlike the conventional multi-code CDMA, the main aim for the assigning multiple spreading codes for each user is to provide unequal error protection on the transmitted data without using further error correction coding (ECC). In addition, the proposed SVM receiver is further simplified by the recursive feature elimination algorithm so that it has a less complexity than the conventional correlator receiver. The modified receiver is also very flexible in controlling the level of error protection in the system. Simulation results are compared with correlator receiver and huge performance gain is achieved due to the multi-user detection capability from the SVM receiver. Theoretical probability of error for both the correlator and the SVM receiver have been derived and confirmed with the simulation results.
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