Parameter Estimation: Slowly Fluctuating Point Targets
Harry L. Van Trees · 2003
In Chapter 10 the author considers the problem of estimating target parameters. Initially, he considers the problem of estimating the range and velocity of a single target when the interference is additive white Gaussian noise. Starting with the likelihood function, he develops the structure of the optimum receiver. He then investigates the performance of the receiver and sees how the signal characteristics affect the estimation accuracy. The author finds that the signal enters into the analysis through a function called the ambiguity function; he therefore develops various properties of the ambiguity function and discusses how to design signals with desirable ambiguity functions. The final topic is the detection of a target in the presence of other interfering targets (the discrete resolution problem).