Computer Science – Information Theory
Scientific paper
2009-08-15
A. Hassanien and S.A. Vorobyov, "Phased-MIMO radar: A tradeoff between phased-array and MIMO radars," IEEE Trans. Signal Proce
Computer Science
Information Theory
33 pages, 14 figures, Submitted to the IEEE Transactions on Signal Processing in July 2009
Scientific paper
We propose a new technique for multiple-input multiple-output (MIMO) radar with colocated antennas which we call phased-MIMO radar. The new technique enjoys the advantages of MIMO radar without sacrificing the main advantage of phased-array radar which is the coherent processing gain at the transmitting side. The essence of the proposed technique is to partition the transmitting array into a number of subarrays that are allowed to overlap. Then, each subarray is used to coherently transmit a waveform which is orthogonal to the waveforms transmitted by other subarrays. Coherent processing gain can be achieved by designing a weight vector for each subarray to form a beam towards a certain direction in space. Moreover, the subarrays are combined jointly to form a MIMO radar resulting in higher resolution capabilities. The substantial improvements offered by the proposed phased-MIMO radar technique as compared to previous techniques are demonstrated analytically and by simulations through analysis of the corresponding beampatterns and achievable output signal-to-noise-plus-interference ratios. Both analytical and simulation results validate the effectiveness of the proposed phased-MIMO radar.
Hassanien Aboulnasr
Vorobyov Sergiy A.
No associations
LandOfFree
Phased-MIMO Radar: A Tradeoff Between Phased-Array and MIMO Radars does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Phased-MIMO Radar: A Tradeoff Between Phased-Array and MIMO Radars, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Phased-MIMO Radar: A Tradeoff Between Phased-Array and MIMO Radars will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-75952