Subspace separation method for ISAR imaging using the MUSIC algorithm

This paper presents a method for subspace dimension estimation which is critical for accurate ISAR image construction using the MUSIC method. The proposed method examines the distribution of correlation matrix eigenvalues after various amount of spatial smoothing to derive an ideal amount of spatial smoothing and the corresponding eigenvalue threshold. When used to separate the signal and noise subspaces, this eigenvalue threshold provides an accurate estimate of the number of scattering centers on the target. The proposed method is tested with simulated ISAR data and compared with a fixed-threshold method. Accuracy over SNR and number of scatterers is presented as well as example images.

[1]  R. Barker.  Ecological Psychology: Concepts and Methods for Studying the Environment of Human Behavior , 1968 .

[2]  A. Bauman,et al.  Understanding environmental influences on walking; Review and research agenda. , 2004, American journal of preventive medicine.

[3]  B. Giles-Corti,et al.  The relationship between destination proximity, destination mix and physical activity behaviors. , 2008, Preventive medicine.

[4]  Robert Sommer,et al.  Personal space : the behavioral basis of design , 1970 .

[5]  Igal Bilik,et al.  Compressive sensing-based SAR tomography , 2010, 2010 IEEE Radar Conference.

[6]  F. Bull,et al.  Evaluation of the implementation of a state government community design policy aimed at increasing local walking: design issues and baseline results from RESIDE, Perth Western Australia. , 2008, Preventive medicine.

[7]  Billie Giles-Corti,et al.  Neighborhood environmental factors correlated with walking near home: Using SPACES. , 2006, Medicine and science in sports and exercise.

[8]  Joaquim Fortuny-Guasch,et al.  Three-dimensional synthetic aperture radar imaging of a fir tree: first results , 1999, IEEE Trans. Geosci. Remote. Sens..

[9]  Kevin Lynch,et al.  The Image of the City , 1960 .

[10]  I. Laher,et al.  Exercise, Vascular Wall and Cardiovascular Diseases , 2008, Sports medicine.

[11]  C. Ross.  Fear of victimization and health , 1993 .

[12]  Sharifah Salwa Syed Mahdzar.  Sociability vs accessibility urban street life. , 2008 .

[13]  B. Giles-Corti,et al.  The relative influence of individual, social and physical environment determinants of physical activity. , 2002, Social science & medicine.

[14]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[15]  David R. Hill,et al.  Pedestrian and street life bibliography , 1991 .

[16]  Louise Potvin,et al.  Health inequalities and place: a theoretical conception of neighbourhood. , 2007, Social science & medicine.

[17]  P. Bréchat,et al.  Health benefits of physical activity in older patients: a review , 2009, International journal of clinical practice.

[18]  H. Miedema,et al.  Influence of environmental street characteristics on walking route choice of elderly people , 2009 .

[19]  B. Giles-Corti,et al.  The built environment, neighborhood crime and constrained physical activity: an exploration of inconsistent findings. , 2008, Preventive medicine.

[20]  Jodi Summers Holtrop,et al.  The renewed interest in urban form and public health: Promoting increased physical activity in Michigan , 2006 .

[21]  A. Bauman,et al.  Neighborhood walkability and the walking behavior of Australian adults. , 2007, American journal of preventive medicine.

[22]  Billie Giles-Corti,et al.  Creating safe walkable streetscapes: Does house design and upkeep discourage incivilities in suburban neighbourhoods? , 2011 .

[23]  J. Eck,et al.  Crime Prevention and Active Living , 2007, American journal of health promotion : AJHP.

[24]  J. Sallis,et al.  Linking objectively measured physical activity with objectively measured urban form: findings from SMARTRAQ. , 2005, American journal of preventive medicine.

[25]  W. Whyte.  The social life of small urban spaces , 1980 .