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Chebyshev chaotic polynomials for MIMO radar waveform generation

机译:Chebyshev混沌多项式用于MIMO雷达波形生成

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摘要

In this study, the use of a family of Chebyshev chaotic maps for pulse compression in multiple input-multiple output (MIMO) radars is studied. It is shown that, these one-dimensional chaotic maps, which are amongst the simplest chaotic systems, can produce arbitrary number of sequences with arbitrary length, low peak-to-average power ratio (PAPR), high merit factor (MF) or equivalently low integrated side-lobe ratio (ISLR), very low peak side-lobe ratio and low cross-correlation levels. The complexity of algorithm for generating sequences in this method is linear. Besides, because of the flat spectrum of the generated sequences, high spectral efficiency can be achieved utilising these sequences. Moreover, simplicity of the map results in cheap building blocks of MIMO radars. Additionally, a simple method to improve the autocorrelation side-lobe is given. By lowering the autocorrelation side-lobes, ISLR or equivalently MF is enhanced. Nevertheless, in comparison with well-designed unimodular sequences, the produced sequences show higher PAPRs. By utilising a PAPR reduction mechanism, this shortcoming is alleviated.
机译:在这项研究中,研究了使用切比雪夫(Chebyshev)混沌图族在多输入多输出(MIMO)雷达中进行脉冲压缩。结果表明,这些一维混沌图谱是最简单的混沌系统之一,可以生成任意数量的序列,这些序列具有任意长度,低峰均功率比(PAPR),高优值因子(MF)或等效值低集成旁瓣比(ISLR),极低峰值旁瓣比和低互相关水平。该方法中生成序列算法的复杂度是线性的。此外,由于所生成序列的频谱平坦,因此利用这些序列可以实现高频谱效率。此外,地图的简单性导致MIMO雷达的廉价构建基块。另外,给出了一种改善自相关旁瓣的简单方法。通过降低自相关旁瓣,可以增强ISLR或等效的MF。但是,与精心设计的单模序列相比,产生的序列显示出更高的PAPR。通过利用PAPR降低机制,该缺点得以缓解。

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