Estimation of clutter degrees of freedom for airborne multiple‐input multiple‐output‐phased array radar

2013 ◽  
Vol 7 (6) ◽  
pp. 652-657 ◽  
Author(s):  
Wenchong Xie ◽  
Xichuan Zhang ◽  
Yongliang Wang ◽  
Yong Zhu
Keyword(s):  
Degrees Of Freedom ◽  
Phased Array ◽  
Multiple Input Multiple Output ◽  
Phased Array Radar ◽  
Multiple Input ◽  
Input Multiple Output

scholarly journals Joint Phased-MIMO and Nested-Array Beamforming for Increased Degrees-of-Freedom

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Chenglong Zhu ◽  
Hui Chen ◽  
Huaizong Shao
Keyword(s):  
Degrees Of Freedom ◽  
Phased Array ◽  
Multiple Input Multiple Output ◽  
Doa Estimation ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Virtual Array ◽  
The Difference ◽  
Array Beamforming ◽  
Error Simulation

Phased-multiple-input multiple-output (phased-MIMO) enjoys the advantages of MIMO virtual array and phased-array directional gain, but it gets the directional gain at a cost of reduced degrees-of-freedom (DOFs). To compensate the DOF loss, this paper proposes a joint phased-array and nested-array beamforming based on the difference coarray processing and spatial smoothing. The essence is to use a nested-array in the receiver and then fully exploit the second order statistic of the received data. In doing so, the array system offers more DOFs which means more sources can be resolved. The direction-of-arrival (DOA) estimation performance of the proposed method is evaluated by examining the root-mean-square error. Simulation results show the proposed method has significant superiorities to the existing phased-MIMO.

scholarly journals Performance Characteristics: The Phase Mimo Radar Technique

2020 ◽  
Vol 8 (6) ◽  
pp. 379-382
Keyword(s):  
Phased Array ◽  
Multiple Input Multiple Output ◽  
Weight Vector ◽  
Mimo Radar ◽  
Phased Array Radar ◽  
Processing Gain ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Beam Patterns ◽  
Radar Technique

The phased-MIMO radar technology is the combination of the phased array and the MIMO (Multiple Input Multiple Output) radar technique. This proposed new technique gives the benefits of MIMO radar without sacrificing the main benefits of phased-array radar, which is the gain in coherent processing on the emission side. The intention of the proposed technique is to divide the transmission network into a number of overlapping subnets. This means that each subnet is used to consistently transmit a waveform that is orthogonal to the waveforms transmitted by the other subnets. The MIMO technique applied to traditional phased array radar has been investigated and has yielded many advantages over the phased array radar system and the MIMO radar. A Coherent processing gain can be obtained by designing a weight vector for each subnet to form a beam in a particular direction in space. The proposed technique compared to the previous techniques, which was a phased array and a MIMO radar, is analytically demonstrated and simulated by MATLAB analysis of the corresponding beam patterns and of the overall beam patterns.

Rudder/Fin Roll Stabilization of the USCG WMEC 901 Class Vessel

1999 ◽  
Vol 36 (03) ◽  
pp. 157-170
Author(s):  
Jerrold N. Sgobbo ◽  
Michael G. Parsons
Keyword(s):  
Degrees Of Freedom ◽  
Multiple Input Multiple Output ◽  
Cross Coupling ◽  
Degree Of Freedom ◽  
Rolling Motion ◽  
Rolling Moment ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Three Degree Of Freedom ◽  
The U.S

The U.S. Coast Guard's 270-ft Medium Endurance Cutter (WMEC) operates with an active fin stabilization system. This system was designed using a one-degree-of-freedom (1-DOF) model in the roll direction. The controller was designed separate from the heading autopilot. The effects of the rudders and their ability to produce a significant rolling moment were also neglected as well as the cross coupling of roll motions into other degrees of freedom. This paper studies the effects of the rudders on the rolling motion of the ship using a three-degree-of-freedom (3-DOF) model. A simple optimal heading autopilot is designed and combined with the existing fin roll controller to investigate the effects of the rudders on the roll motions of this class of vessel. A rudder roll controller and a multiple input-multiple output (MIMO) rudder/fin controller are designed as well. Significant roll reduction can be achieved using the MIMO rudder/fin controller.

scholarly journals A novel method for joint- PAPR mitigation in OFDM-based massive MIMO downlink systems

2018 ◽  
Vol 7 (3) ◽  
pp. 1185 ◽  
Author(s):  
Padarti Vijaya Kumar ◽  
Venkateswara Rao Nandanavanam
Keyword(s):  
Massive Mimo ◽  
High Speed ◽  
Degrees Of Freedom ◽  
Multiple Input Multiple Output ◽  
Average Power ◽  
Data Communication ◽  
Multiple Input ◽  
Input Multiple Output ◽  
High Speed Data ◽  
Mimo Downlink

Massive MIMO has gained much attention with the increase in the high speed data communication. The problem of peak-to-average power ratio (PAPR) is considered, the detrimental aspects in OFDM based massive multiple-input multiple-output (MIMO) downlink systems. The previous works done in reduction of PAPR problem using convex optimization are computationally inefficient. We considered Bayesian approach to mitigate PAPR by utilizing the redundant degrees of freedom (DOF) of the transmit array, which effectively reduced the level of PAPR. The performance or numerical results indicate the applied algorithm achieved a good improvement over the existing techniques in terms of the PAPR reduction.  

scholarly journals MIMO Antenna Array Design with Polynomial Factorization

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Wen-Qin Wang ◽  
Huaizong Shao ◽  
Jingye Cai
Keyword(s):  
Antenna Array ◽  
Degrees Of Freedom ◽  
Multiple Input Multiple Output ◽  
Factorization Method ◽  
Polynomial Factorization ◽  
Mimo Antenna ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Simulation Results ◽  
Array Performance

One of the main advantages of multiple-input multiple-output (MIMO) antenna is that the degrees-of-freedom can be significantly increased by the concept of virtual antenna array, and thus the MIMO antenna array should be carefully designed to fully utilize the virtual antenna array. In this paper, we design the MIMO antenna array with the polynomial factorization method. For a desired virtual antenna array, the polynomial factorization method can optimally design the specified MIMO transmitter and receiver. The array performance is examined by analyzing the degrees-of-freedom and statistical output signal-to-interference-plus-noise ratio (SINR) performance. Design examples and simulation results are provided.

Minimum number of antennas and degrees of freedom of multiple-input–multiple-output multi-user two-way relay X channels

2015 ◽  
Vol 9 (4) ◽  
pp. 568-575 ◽  
Author(s):  
Tae-Hoon Kim ◽  
Dong-Sup Jin ◽  
Jong-Seon No ◽  
Jaehong Kim ◽  
Habong Chung
Keyword(s):  
Degrees Of Freedom ◽  
Multiple Input Multiple Output ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Minimum Number

scholarly journals On the Degrees of Freedom of Interference Alignment for Multicell MIMO Interfering Broadcast Channels

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Hyun-Ho Choi
Keyword(s):  
Degrees Of Freedom ◽  
Multiple Input Multiple Output ◽  
Interference Alignment ◽  
Dimensional Subspace ◽  
Broadcast Channels ◽  
Transmit Beamforming ◽  
Optimal Dimension ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Multicell Mimo

The interference alignment (IA) is a promising technique to efficiently mitigate interference and to enhance capacity of a wireless network. This paper proposes an interference alignment scheme for a cellular network withLcells andKusers under a multiple-input multiple-output (MIMO) Gaussian interfering broadcast channel (IFBC) scenario. The proposed IA scheme aligns intercell interferences (ICI) into a small dimensional subspace through a cooperative receive beamforming and cancels both the ICI and interuser interferences (IUI) simultaneously through a transmit beamforming. We characterize the feasibility condition for the proposed IA to achieve a total number of degrees of freedom (DoF) ofLKin terms of the numbers of transmit antennas and receive antennas. Then we derive the maximum number of DoF achieved by the proposed IA by finding an optimal dimension of ICI alignment subspace for a given antenna configuration. The numerical results show that the proposed IA scheme has a better DoF performance than the conventional schemes.

scholarly journals A Flexible Phased-MIMO Array Antenna with Transmit Beamforming

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Wen-Qin Wang ◽  
Huaizong Shao
Keyword(s):  
Phased Array ◽  
Multiple Input Multiple Output ◽  
Spatial Diversity ◽  
Array Antenna ◽  
Transmit Beamforming ◽  
Operating Modes ◽  
Array Antennas ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Extensive Numerical Simulation

Although phased-array antennas have been widely employed in modern radars, the requirements of many emerging applications call for new more advanced array antennas. This paper proposes a flexible phased-array multiple-input multiple-output (MIMO) array antenna with transmit beamforming. This approach divides the transmit antenna array into multiple subarrays that are allowed to overlap each subarray coherently transmits a distinct waveform, which is orthogonal to the waveforms transmitted by other subarrays, at a distinct transmit frequency. That is, a small frequency increment is employed in each subarray. Each subarray forms a directional beam and all beams may be steered to different directions. The subarrays jointly offer flexible operating modes such as MIMO array which offers spatial diversity gain, phased-array which offers coherent directional gain and frequency diverse array which provides range-dependent beampattern. The system performance is examined by analyzing the transmit-receive beampatterns. The proposed approach is validated by extensive numerical simulation results.

Sign in / Sign up

Export Citation Format

Share Document