High resolution through-the-wall radar image based on beamspace eigenstructure subspace methods

Yeo-Sun Yoon; Moeness G. Amin

doi:10.1117/12.777171

15 April 2008 High resolution through-the-wall radar image based on beamspace eigenstructure subspace methods

Yeo-Sun Yoon, Moeness G. Amin

Proceedings Volume 6947, Radar Sensor Technology XII; 69470C (2008) https://doi.org/10.1117/12.777171
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

Through-the-wall imaging (TWI) is a challenging problem, even if the wall parameters and characteristics are known to the system operator. Proper target classification and correct imaging interpretation require the application of high resolution techniques using limited array size. In inverse synthetic aperture radar (ISAR), signal subspace methods such as Multiple Signal Classification (MUSIC) are used to obtain high resolution imaging. In this paper, we adopt signal subspace methods and apply them to the 2-D spectrum obtained from the delay-andsum beamforming image. This is in contrast to ISAR, where raw data, in frequency and angle, is directly used to form the estimate of the covariance matrix and array response vector. Using beams rather than raw data has two main advantages, namely, it improves the signal-to-noise ratio (SNR) and can correctly image typical indoor extended targets, such as tables and cabinets, as well as point targets. The paper presents both simulated and experimental results using synthesized and real data. It compares the performance of beam-space MUSIC and Capon beamformer. The experimental data is collected at the test facility in the Radar Imaging Laboratory, Villanova University.

Citation Download Citation

Yeo-Sun Yoon and Moeness G. Amin "High resolution through-the-wall radar image based on beamspace eigenstructure subspace methods", Proc. SPIE 6947, Radar Sensor Technology XII, 69470C (15 April 2008); https://doi.org/10.1117/12.777171

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