期刊:IEEE Transactions on Aerospace and Electronic Systems [Institute of Electrical and Electronics Engineers] 日期:1986-03-01卷期号:AES-22 (2): 115-127被引量:1206
标识
DOI:10.1109/taes.1986.310745
摘要
A general problem of signal detection in a background of unknown Gaussian noise is addressed, using the techniques of statistical hypothesis testing. Signal presence is sought in one data vector, and another independent set of signal-free data vectors is available which share the unknown covariance matrix of the noise in the former vector. A likelihood ratio decision rule is derived and its performance evaluated in both the noise-only and signal-plus-noise cases.