Spherical Harmonic-Based Anisotropic Point Scatterer Models for Radar Applications Using Inverse Optimization

Eric Huang, Coleman Delude, Justin Romberg, Saibal Mukhopadhyay, Madhavan Swaminathan

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


High-performance computing-based electromagnetic (EM) emulators are used to simulate real-time complex EM wave interactions between multiple radar targets, transmitters, and receivers. The radar cross section (RCS) of the radar targets are required to be stored as a table; however, the needed storage size increases dramatically with the angle and frequency sampling density. In this article, we present an innovative approach of constructing a concise spherical harmonic-based anisotropic point scatterer model that the emulators can use as part of the computations. The point scatterer model is constructed directly from the precomputed RCS data. First, we use only the monostatic RCS data and compute the spherical harmonic-based monostatic point scatterer model by solving a linear least-squares problem which has a group sparsity constraint. Then, we further compute the spherical harmonic-based bistatic point scatterer model using the full bistatic RCS data. The problem is formulated as a bilinear least-squares problem. The problem is solved using the normalized iterative algorithm, which linearly solves two parameters in a back and forth manner. The results show that the point scatterer model can effectively represent the bistatic RCS data of a radar target.

Original languageEnglish (US)
Pages (from-to)8304-8310
Number of pages7
JournalIEEE Transactions on Antennas and Propagation
Issue number9
StatePublished - Sep 1 2022

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


Dive into the research topics of 'Spherical Harmonic-Based Anisotropic Point Scatterer Models for Radar Applications Using Inverse Optimization'. Together they form a unique fingerprint.

Cite this