The perfectly matched layer (PML) was first introduced by Berenger as a material absorbing boundary condition (ABC) for electromagnetic waves. In this paper, a method is developed to extend the perfectly matched layer to simulating seismic wave propagation in poroelastic media. This nonphysical material is used at the computational edge of a finite-difference algorithm as an ABC to truncate unbounded media. The incorporation of PML in Biot's equations is different from other PML applications in that an additional term involving convolution between displacement and a loss coefficient in the PML region is required. Numerical results show that the PML ABC attenuates the outgoing waves effectively.

Abstract. The method of moments (MOM) is applied to the problem of electromagnetic scattering from general three-dimensional dielectric targets in an arbitrary multilayered environment. The dyadic multilayered Green's function is computed via the method of complex images, and the Galerkin MOM solution is effected by employing triangular patch basis functions. Several example frequency and time domain results are presented, with application to radar-based sensing of plastic land mines.

Abstract. The multilevel fast multipole algorithm (MLFMA) is extended to the problem of an arbitrarily shaped dielectric target in the presence of a lossy, dispersive half-space. The near MLFMA terms are treated rigorously, via a complex-image-technique-based evaluation of the Sommerfeld integrals inherent to the half-space Green's function. The Green's function components for the far MLFMA terms are evaluated approximately, but accurately, via an asymptotic analysis. In this paper, we detail the scattering formulation and perform a comparison of MLFMA-generated results with those from other, simpler (and less general) models.

Advanced electromagnetic modelling tools are discussed, focused on sensing surface and buried land mines and unexploded ordnance, situated in a realistic soil environment. The results from these forward models are used to process scattered-field data, for target detection and identification. We address sensors directed toward the wide-area-search problem, for which one is interested in detecting a former mine field or bombing range. For this problem class we process data measured from an actual airborne radar system. Signal-processing algorithms applied include Bayesian processing and a physics-based hidden Markov model.

The multilevel fast multipole algorithm (MLFMA) is applied to the problem of a general three‐dimensional dielectric target above or below a lossy half space. The dyadic half‐space Green's function is evaluated rigorously for the “near” MLFMA interactions, while an asymptotic Green's function approximation is applied for the “far” interactions. The model is discussed, and results are compared with those from a rigorous method‐of‐moments (MoM) analysis. © 2001 John Wiley & Sons, Inc. Microwave Opt Technol Lett 29: 100–104, 2001.