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Nonlinear quantization in low oversampling ratio sigma-delta noise shapers for RF applications

机译:低过采样率sigma-delta噪声整形器中的非线性量化,用于RF应用

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Baseband signal processing for current base stations or 3rd generation mobile systems will impose high bandwidth and high VLSI integration demand. Many of the desired integration aspects can be satisfied with sigma-delta converter front-ends. However, under the technology constraints there are simultaneous requirements for high sample rate and low oversampling ratio in order to achieve the desired baseband width. In this paper, we present system architecture results for the 4th-order cascaded noise shaper architectures to be used in baseband front-ends. We show that the cascaded structures with proper scaling will satisfy simultaneous demand on linearity (spurious free dynamic range) and high SQNR with low oversampling ratio based on usage of multibit quantizers outside the actual signal noise shaping path. We also present results for nonlinear quantization effects in low oversampling ratio cascaded noise shaper architectures. We analyse the effect of the non-linearity in both the A/D and D/A-Nock in quantization error quantizer path for the 4th-order cascaded topology and the design constraints associated to the performance of the used A/D and D/A structures. The performance requirement for the multi-bit quantizer for high SQNR is shown for the case of low oversampling ratios. The results show that non-uniform quantization around zero input are far more crucial to the SQNR than nonlinear quantization deviating from the ideal transfer function. As the key difference to standard multibit quantizers, no special error correction or error distribution schemes are required; the lineanty requirements are satisfied with 0.2 LSB accuracy of the few bit quantizer. Finally, the performance of non-linear quantization using multitone test signals are also shown.
机译:当前基站或第三代移动系统的基带信号处理将带来高带宽和高VLSI集成需求。 sigma-delta转换器前端可以满足许多期望的集成方面。但是,在技术约束下,同时需要高采样率和低过采样率,以实现所需的基带宽度。在本文中,我们介绍了用于基带前端的四阶级联噪声整形器体系结构的系统体系结构结果。我们表明,基于实际信号噪声整形路径之外的多位量化器的使用,具有适当缩放比例的级联结构将同时满足线性(无杂散动态范围)和高SQNR且具有低过采样率的需求。我们还提出了低过采样率级联噪声整形器体系结构中非线性量化效应的结果。我们分析了四阶级联拓扑的量化误差量化路径中A / D和D / A-Nock非线性的影响以及与使用的A / D和D /的性能相关的设计约束一个结构。对于低过采样率的情况,显示了针对高SQNR的多位量化器的性能要求。结果表明,与偏离理想传递函数的非线性量化相比,零输入附近的非均匀量化对SQNR至关重要。与标准多位量化器的主要区别在于,不需要特殊的纠错或错误分配方案;数位量化器的0.2 LSB精度可满足线性要求。最后,还显示了使用多音测试信号进行非线性量化的性能。

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