Mutli-sensor surveillance radar based on MISO sensors and Kalman filtration

Specific modern military defense systems are based on detection of approaching threat missiles and activation of various kinds of active countermeasures. The presented surveillance radar was developed for detection and tracking of missiles in question in the close vicinity of military vehicles. Apart from the determination of the missile trajectory, the device is capable of calculating the expected point-of-impact. It consists of a set of MISO radar sensors and applies the ESPRIT method for determination of DOA and extended Kalman filtration. The realized 2-sensor sample was tested by using real military missiles and proved to be able to detect and track them efficiently.

[1]  Edward Jones,et al.  CHANNEL-RANKED BEAMFORMER FOR THE EARLY DETECTION OF BREAST CANCER , 2010 .

[2]  Hee Jung Shin,et al.  Automated ultrasound of the breast for diagnosis: interobserver agreement on lesion detection and characterization. , 2011, AJR. American journal of roentgenology.

[3]  J. D. Shea,et al.  Three-dimensional microwave imaging of realistic numerical breast phantoms via a multiple-frequency inverse scattering technique. , 2010, Medical physics.

[4]  Viktor Krozer,et al.  Microwave-based tumor localization in moderate heterogeneous breast tissue , 2013, 2013 14th International Radar Symposium (IRS).

[5]  Sudhir Shrestha,et al.  Flexible Microstrip Antenna for Skin Contact Application , 2012 .

[6]  F. Kozak,et al.  MISO radar for detection and tracking of fast-flying objects , 2012, 2012 9th European Radar Conference.

[7]  Cheong Boon Soh,et al.  UWB Microwave Imaging for Breast Cancer Detection --- Experiments with Heterogeneous Breast Phantoms , 2011 .

[8]  M. Lindstrom,et al.  A large-scale study of the ultrawideband microwave dielectric properties of normal breast tissue obtained from reduction surgeries , 2007, Physics in medicine and biology.

[9]  Sima Noghanian,et al.  Heterogeneous Breast Phantom Development for Microwave Imaging Using Regression Models , 2012, Int. J. Biomed. Imaging.

[10]  S. Shapiro,et al.  Ten- to fourteen-year effect of screening on breast cancer mortality. , 1982, Journal of the National Cancer Institute.

[11]  F Levi,et al.  European cancer mortality predictions for the year 2012. , 2012, Annals of oncology : official journal of the European Society for Medical Oncology.

[12]  A. Preece,et al.  Microwave Radar-Based Breast Cancer Detection: Imaging in Inhomogeneous Breast Phantoms , 2009, IEEE Antennas and Wireless Propagation Letters.

[13]  L. Minz,et al.  Dual layer UWB dielectric probe for bistatic breast cancer detection system , 2012, 2012 International Symposium on Antennas and Propagation (ISAP).

[14]  V. Krozer,et al.  Time-Difference-of-Arrival imaging for ultra-wideband microwave mammography , 2013, 2013 7th European Conference on Antennas and Propagation (EuCAP).

[15]  Yiqiang Yu,et al.  Introduction to Direction-Of-Arrival Estimation , 2010 .