This is the authors' abstract. We don't add key points for this paper.
Understanding electromagnetic scattering phenomena at high frequencies is important in specifying the location of the local scattered wave (scattering center). This procedure also is available for the practical radar target recognition. Detection of the scattering center also is possible by means of the Fourier transform in the frequency data measured by a network analyzer. However, since its resolution is limited by the measured frequency bandwidth, practical applications may often be difficult. In this paper, the use of the MUSIC algorithm which has a higher resolution than the Fourier transform is proposed for the time‐domain estimation method of the electromagnetic scattering. As an example, the detection of the scattering center in the backscattering measurement of a conductive sphere is discussed. It is pointed out that the algorithm can be applied without significant modifications. Most of the superresolution methods require many snapshots. It is found by computer simulation that the noise suppression preprocessing by time‐domain gating is effective for reduction of the snapshots. The setting of the number of incident signals (scattering center) of the MUSIC algorithm in the time‐gated data is discussed. Further, by experiments, these investigations were verified and the high‐resolution nature of the present method is proven.
Answers are grounded in this paper and cite their sources.
No takes yet. Share an insight, caveat, or question.
Yamada et al. (1994) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: