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Cramér-Rao Bounds for a Coupled Mixture of Polynomial Phase and Sinusoidal FM Signals

机译:Cramér-Rao用于多项式相和正弦型FM信号的耦合混合物

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This letter introduces a new coupled mixture of polynomial phase signal (PPS) and sinusoidal frequency modulated (FM) signal, motivated by real-world applications, for example, contactless linear encoders. Specifically, the coupling is introduced to express the sinusoidal FM frequency as a function of the PPS-related parameters. Given the coupling mixture, it generalizes two existing models: the pure PPS model and the independent mixture model. Performance bounds of parameter estimation for the coupled mixture model are established in terms of the Cramér-Rao bound (CRB). Unlike the pure PPS case, the derived CRB shows its dependence on the PPS-related and sinusoidal FM-related parameters due to the coupling mixture. On the other hand, the derived CRBs for the PPS-related parameters are lower than their counterparts of the independent mixture model, as the sinusoidal FM frequency provides additional information on the PPS parameters.
机译:这封信引入了多项式相位信号(PPS)和正弦频率调制(FM)信号的新耦合混合物,例如由现实世界应用,例如非接触式线性编码器。具体地,引入耦合以表达作为PPS相关参数的函数的正弦FM频率。鉴于耦合混合物,它推广了两个现有型号:纯PPS模型和独立的混合模型。就Cramér-Rao绑定(CRB)而建立了耦合混合模型的参数估计的性能范围。与纯PPS案例不同,衍生的CRB显示其对由于偶联混合物引起的PPS相关和正弦FM相关参数的依赖性。另一方面,由于正弦FM频率提供了关于PPS参数的附加信息,所以PPS相关参数的衍生CRB低于其独立混合模型的对应部分。

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