Revolutionizing radar with compressive sensing
Alexander Haimovich leads research teams at NJIT working to enhance the performance of radar systems and develop reliable wireless communications for high-speed trains.
Most recently, Dr. Haimovich and his colleagues are focusing on applying “compressive sensing” algorithms to multiple-input multiple-output (MIMO) radar systems. An emerging field, compressive sensing promises to revolutionize defense, weather and geo-mapping radar systems by supporting high-resolution imaging while simultaneously reducing computer processing demands and lowering power consumption.
Compressive sensing also holds enormous promise for signal-processing-intensive applications ranging from video and medical imaging to remote surveillance, spectroscopy and genomic data analysis.
A pioneer in the field of signal processing in adaptive arrays and multiple sensor radar, Dr. Haimovich is distinguished professor of electrical and computer engineering at NJIT and holder of the Ying Wu endowed chair. He is also director of the internationally recognized Elisha Bar-Ness Center for Wireless Communications and Signal Processing Research at NJIT.