Results 1 to 10 of about 5,927 (180)
Phased-MIMO Radar: A Tradeoff Between Phased-Array and MIMO Radars [PDF]
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
Aboulnasr Hassanien, Sergiy A Vorobyov
exaly +5 more sources
LiQuiD-MIMO Radar: Distributed MIMO Radar with Low-Bit Quantization
Distributed MIMO radar is known to achieve superior sensing performance by employing widely separated antennas. However, it is challenging to implement a low-complexity distributed MIMO radar due to the complex operations at both the receivers and the fusion center.
Yikun Xiang, Feng Xi, Shengyao Chen
openaire +3 more sources
MIMO Radar Parallel Simulation System Based on CPU/GPU Architecture. [PDF]
The data volume and computation task of MIMO radar is huge; a very high-speed computation is necessary for its real-time processing. In this paper, we mainly study the time division MIMO radar signal processing flow, propose an improved MIMO radar signal
Liu G +8 more
europepmc +2 more sources
Multiple-input multiple-output (MIMO) extensions to radar systems enable a number of advantages compared to traditional approaches. These advantages include improved angle estimation and target detection. In this paper, MIMO ground moving target indication (GMTI) radar is addressed. The concept of coherent MIMO radar is introduced.
Bliss, Daniel W., Jr. +6 more
openaire +3 more sources
Random Time Division Multiplexing Based MIMO Radar Processing with Tensor Completion Approach. [PDF]
Automotive radar pursues low cost and high performance, and especially hopes to improve the angular resolution under the condition of a limited number of multiple-input–multiple-output (MIMO) radar channels. Conventional time division multiplexing (
Zhang Y, Qiao Y, Li G, Li W, Tian Q.
europepmc +2 more sources
MIMO-MC radar: A MIMO radar approach based on matrix completion [PDF]
In a typical MIMO radar scenario, transmit nodes transmit orthogonal waveforms, while each receive node performs matched filtering with the known set of transmit waveforms, and forwards the results to the fusion center. Based on the data it receives from multiple antennas, the fusion center formulates a matrix, which, in conjunction with standard array
Shunqiao Sun +2 more
openaire +2 more sources
Compressive sensing for MIMO radar [PDF]
Multiple-input multiple-output (MIMO) radar systems have been shown to achieve superior resolution as compared to traditional radar systems with the same number of transmit and receive antennas. This paper considers a distributed MIMO radar scenario, in which each transmit element is a node in a wireless network, and investigates the use of compressive
Yao Yu 0004 +2 more
openaire +2 more sources
Coded OFDM Waveforms for MIMO Radars [PDF]
Emerging digital radar concepts such as orthogonal frequency-division multiplexing (OFDM) allow flexible signal generation. This opens up new opportunities in waveform design in a multiple-input multiple-output (MIMO) system such as introducing coding for signal multiplexing. In this article, coded MIMO OFDM waveforms are proposed and investigated that
Christina Knill +4 more
openaire +1 more source
Compressed sensing in MIMO radar [PDF]
Compressed sensing is a technique for efficiently sampling signals which are sparse in some transform domain. Recently, the idea of compressed sensing has been used in the radar system. When the number of targets on the range-Doppler plane is small, the target scene can be reconstructed by employing the compressed sensing techniques.
Chen, Chun-Yang, Vaidyanathan, P. P.
openaire +2 more sources
Super-resolution MIMO radar [PDF]
A multiple input, multiple output (MIMO) radar emits probings signals with multiple transmit antennas and records the reflections from targets with multiple receive antennas. Estimating the relative angles, delays, and Doppler shifts from the received signals allows to determine the locations and velocities of the targets.
openaire +2 more sources

