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On Wilks' Theorem for Generalized Likelihood Ratio Test Performance of Cooperative Radar-Communications

机译:关于合作雷达通信的广义似然比测试性能的Wilks定理

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The analysis of the generalized likelihood ratio test (GLRT) radar receiver when the radar is coexisting with a cooperative in-band communication (comm.) system is challenged by the discrete nature of the comm. symbols. While the asymptotic performance of the GLRT can be well-approximated by using the Fisher information matrix (FIM) for the Cramér-Rao bound (CRB) via Wilks' theorem, this only applies when the underlying data distribution for each hypothesis is continuous in the parameters. Thus, to accommodate the discrete nature of the comm. symbols an adaptation to Wilks' theorem is proposed in this work that uses the constrained CRB (CCRB) in place of the usual unconstrained CRB.
机译:雷达与协作带内通信(Comm。)系统共存时的广义似然比测试(GLRT)雷达接收器的分析受到COMM的离散性质的挑战。符号。虽然GLRT的渐近性能通过使用Wilks定理使用Fisher信息矩阵(CRB)的Fisher信息矩阵(FIM)可以很好地近似,但这仅适用于每个假设的底层数据分布是连续的参数。因此,以适应Comm的离散性。在使用受约束的CRB(CCRB)代替通常无约束CRB的工作中提出了对Wilks定理的适应性。

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