Correlation characteristic analysis in diversity multiple‐input multiple‐output radar

2017 ◽  
Vol 53 (5) ◽  
pp. 349-351
Author(s):  
Jieyi Liu ◽  
Linrang Zhang ◽  
Shanshan Zhao ◽  
Nan Liu ◽  
Juan Zhang
Keyword(s):  
Multiple Input Multiple Output ◽  
Characteristic Analysis ◽  
Multiple Input ◽  
Correlation Characteristic ◽  
Input Multiple Output

scholarly journals Constrained Transmit Beampattern Design Using a Correlated LFM-PC Waveform Set in MIMO Radar

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 773
Author(s):  
Sheng Hong ◽  
Yantao Dong ◽  
Rui Xie ◽  
Yu Ai ◽  
Yuhao Wang
Keyword(s):  
Clonal Selection ◽  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Ambiguity Function ◽  
Spatial Characteristic ◽  
Optimization Strategy ◽  
Characteristic Analysis ◽  
Constant Envelope ◽  
Multiple Input ◽  
Input Multiple Output

This paper considers the design of a desired transmit beampattern under the good ambiguity function constraint using a correlated linear frequency modulation-phase coded (LFM-PC) waveform set in multiple-input-multiple-output (MIMO) radar. Different from most existing beampattern design approaches, we propose using the LFM-PC waveform set to conquer the challenging problem of synthesizing waveforms with constant-envelope and easy-generation properties, and, meanwhile, solve the hard constraint of a good ambiguity behaviour. First, the ambiguity function of the LFM-PC waveform set is derived, and the superiority of LFM-PC waveforms over LFM and PC waveforms is verified. The temporal and spatial characteristic analysis of the LFM-PC waveform set demonstrates that both the transmit beampattern and sidelobe level are mainly affected by the frequency intervals, bandwidths, and phase-coded sequences of the LFM-PC waveform set. Finally, the constrained beampattern design problem is formulated by optimizing these parameters for desired beampatterns and low sidelobes at different doppler frequencies, which is a bi-objective optimization problem. To solve this, we propose a joint optimization strategy followed by a mandatory optimization, where the sequence quadratic programming (SQP) algorithm and adaptive clonal selection (ACS) algorithm are exploited iteratively. The simulation results demonstrate the efficiency of our proposed method.

A miniaturized single‐layered branched multiple‐input multiple‐output antenna for WLAN/WiMAX/INSAT applications

2019 ◽  
Vol 61 (4) ◽  
pp. 1058-1064 ◽  
Author(s):  
A. W. Mohammad Saadh ◽  
R. Poonkuzhali ◽  
Tanweer Ali
Keyword(s):  
Multiple Input Multiple Output ◽  
Multiple Input ◽  
Input Multiple Output

scholarly journals MIMO (Multiple-Input-Multiple-Output) Control for Optimising the Future Gasoline Powertrain - A Survey

2017 ◽  
Author(s):  
Simon Petrovich ◽  
Kambiz Ebrahimi ◽  
Antonios Pezouvanis
Keyword(s):  
Multiple Input Multiple Output ◽  
Output Control ◽  
Multiple Input ◽  
The Future ◽  
Input Multiple Output
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