TY - GEN
T1 - MIMO radar medical imaging
T2 - 40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06
AU - Bliss, D. W.
AU - Forsythe, K. W.
PY - 2006/12/1
Y1 - 2006/12/1
N2 - In this paper, an application of multiple-input multiple-output (MIMO) radar techniques to medical imaging is investigated. MIMO radar, which can be viewed as a form of microwave tomography for medical imaging geometries, offers an alternative to current X-ray technology. Of particular interest is the detection of cancerous tumors in breast tissue. Previously, ultrawideband radar techniques have been considered. Here, an intermediate bandwidth is assumed, which enables the digitization of the entire baseband signal. However, this comes with the cost of self-interference because of transmitting and receiving simultaneously. Because the scattering response of tumors is weak compared to self-interference, mitigation of the direct transmitter-to-receiver signal is important to detection. In this application, three interference suppression techniques are considered: temporal mitigation, receive-array mitigation, and transmit-waveform optimization. Mitigation residuals, caused by calibration errors and signal nonlinearities, are included in the analysis. A system concept is introduced, and results from simulations using a simplified physical model are presented.
AB - In this paper, an application of multiple-input multiple-output (MIMO) radar techniques to medical imaging is investigated. MIMO radar, which can be viewed as a form of microwave tomography for medical imaging geometries, offers an alternative to current X-ray technology. Of particular interest is the detection of cancerous tumors in breast tissue. Previously, ultrawideband radar techniques have been considered. Here, an intermediate bandwidth is assumed, which enables the digitization of the entire baseband signal. However, this comes with the cost of self-interference because of transmitting and receiving simultaneously. Because the scattering response of tumors is weak compared to self-interference, mitigation of the direct transmitter-to-receiver signal is important to detection. In this application, three interference suppression techniques are considered: temporal mitigation, receive-array mitigation, and transmit-waveform optimization. Mitigation residuals, caused by calibration errors and signal nonlinearities, are included in the analysis. A system concept is introduced, and results from simulations using a simplified physical model are presented.
UR - http://www.scopus.com/inward/record.url?scp=47049105173&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=47049105173&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2006.355020
DO - 10.1109/ACSSC.2006.355020
M3 - Conference contribution
AN - SCOPUS:47049105173
SN - 1424407850
SN - 9781424407859
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 1558
EP - 1562
BT - Conference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06
Y2 - 29 October 2006 through 1 November 2006
ER -