In this chapter we consider simulation techniques that enable us to study various aspects of radar performance in circumstances where an analytic attack may not be possible or particularly informative. To complement the analytic clutter modelling discussed in Chapter 3, we will develop methods for the numerical simulation of unwanted radar returns. The clutter models in Chapter 3 are exclusively statistical; this prejudice is still evident in our choice of simulation methods. In essence, we address the problem of generating correlated random numbers with prescribed one- and two-point statistics.

Chapter Contents:

• 4.1 Introduction
• 4.2 Generating uncorrelated random numbers with a prescribed PDF
• 4.3 Generating correlated Gaussian random processes
• 4.4 Fourier synthesis of random processes
• 4.5 Approximate methods for the generation of correlated gamma distributed random numbers
• 4.6 The correlation properties of non-Gaussian processes generated by MNLT
• 4.7 Correlated exponential and Weibull processes
• 4.8 The generation of correlated gamma processes by MNLT
• 4.9 Simulating coherent clutter
• 4.9.1 Simulation of clutter spectra
• 4.9.2 Simulation of time series data
• 4.9.3 Discussion
• References

Inspec keywords: statistics; radar clutter; simulation; numerical analysis

Other keywords: radar performance; numerical simulation; statistics; simulation techniques; unwanted radar returns; analytic clutter modelling

Subjects: Radar theory; Other topics in statistics; Other numerical methods