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

被引:0
|
作者
Ali, Touseef [1 ]
Bondre, Akshay S. [1 ]
Richmond, Christ D. [1 ]
机构
[1] Arizona State Univ, Signals Informat Inference & Learning Grp, Sch Elect Comp & Energy Engn, Tempe, AZ 85287 USA
关键词
Cooperative radar-communications; shared spectrum; RF convergence; GLRT; Wilks; Cramer-Rao bound (CRB); constrained CRB; maximum-likelihood; radar detection; BOUNDS;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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 Cramer-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.
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页数:6
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