scholarly journals A Barrage Jamming Strategy Based on CRB Maximization against Distributed MIMO Radar

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2453 ◽  
Author(s):  
Guangyong Zheng ◽  
Siqi Na ◽  
Tianyao Huang ◽  
Lulu Wang
Keyword(s):  
Particle Swarm Optimization ◽  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Parameters Estimation ◽  
Swarm Optimization ◽  
Counter Measures ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Simulation Results ◽  
Cramer Rao Bound

Distributed multiple input multiple output (MIMO) radar has attracted much attention for its improved detection and estimation performance as well as enhanced electronic counter-counter measures (ECCM) ability. To protect the target from being detected and tracked by such radar, we consider a barrage jamming strategy towards a distributed MIMO. We first derive the Cramer–Rao bound (CRB) of target parameters estimation using a distributed MIMO under barrage jamming environments. We then set maximizing the CRB as the criterion for jamming resource allocation, aiming at degrading the accuracy of target parameters estimation. Due to the non-convexity of the CRB maximizing problem, particle swarm optimization is used to solve the problem. Simulation results demonstrate the advantages of the proposed strategy over traditional jamming methods.

Cramer-Rao Bound for Parameter Estimation in Bistatic MIMO Radar

2014 ◽  
Vol 513-517 ◽  
pp. 3385-3388
Author(s):  
Li Li
Keyword(s):  
Parameter Estimation ◽  
Target Location ◽  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Signal Model ◽  
Wideband Signal ◽  
Wideband Signals ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Cramer Rao Bound

The problem of Cramér-Rao bound for parameter estimation in wideband bistatic Multiple-Input Multiple-Output (MIMO) radar system is considered. In many applications, it is not appropriate to approximate the wideband signal by the narrowband model. In this paper, we propose a new wideband signal model to accurately estimate parameter for wideband signals from a moving target. The Cramér-Rao bound for target parameter estimation is derived and computed in closed form which shows that the optimal performance is achieved. Target location and parameter estimation performances are evaluated and studied theoretically and via simulations.

scholarly journals MIMO radar pseudo-orthogonal waveform generation by a passive 1 ×Mmode-mixing microwave cavity

2017 ◽  
Vol 9 (7) ◽  
pp. 1357-1363 ◽  
Author(s):  
Ettien L. Kpré ◽  
Cyril Decroze ◽  
Thomas Fromenteze
Keyword(s):  
Transfer Functions ◽  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Parameters Estimation ◽  
Microwave Cavity ◽  
Transmit Beamforming ◽  
Waveform Generation ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Cost Efficient

Multiple Input Multiple Output (MIMO) Radar has many advantages compared with conventional Radars including improved target parameters estimation, improved angular resolution while keeping a small number of antennas. Nevertheless, these advantages can be obtained when probing simultaneously the scattering matrix with orthogonal transmit signals. Recently, a passive orthogonal waveform generation technique was introduced using a 1 × M ports Mode-Mixing microwave cavity whose transfer functions are uncorrelated. This approach makes MIMO Radar system able to satisfy transmit beamforming constraint with a cost-efficient architecture. In this paper, more conceptual clarifications are brought and the orthogonality metrics are assessed. Furthermore, the proposed method is experimentally compared with a conventional MIMO Radar based on frequency hopping waveforms.

scholarly journals Mainlobe Jamming Suppression Using Improved Frequency Diverse Array with MIMO Radar

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Guang-ming Li ◽  
Qun Zhang ◽  
Qi-yong Liu ◽  
Jia Liang ◽  
Dan Wang ◽  
...  
Keyword(s):  
Multiple Input Multiple Output ◽  
Logistic Map ◽  
Mimo Radar ◽  
Line Of Sight ◽  
Waveform Diversity ◽  
Multiple Beams ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Frequency Diverse Array ◽  
Simulation Results

Frequency diverse array (FDA) has attracted much attention in recent years due to its range-angle-dependent beampattern. Multiple-input multiple-output (MIMO) radar can offer waveform diversity to increase the virtual aperture length for azimuth coherent focus processing in radar imaging. Combining the advantages of FDA and MIMO radar, FDA-MIMO radar can steer multiple beams to different targets in the same line of sight (LOS) of radar with different waveforms. In this paper, an improved FDA model with the logistic map is proposed to get the aperiodic and range-angle uncoupling beampattern. Based on the proposed FDA, combining the FDA-MIMO radar, the waveform and chirp rate jitter techniques are adopted to mainlobe jamming suppression. Simulation results show the effectiveness of the proposed method.

Cramer-Rao Bound for Parameter Estimation in Narrowband Bistatic MIMO Radar

2014 ◽  
Vol 556-562 ◽  
pp. 5034-5037 ◽  
Author(s):  
Li Li
Keyword(s):  
Parameter Estimation ◽  
Target Location ◽  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Signal Model ◽  
Narrowband Signal ◽  
Multiple Input ◽  
Estimate Parameter ◽  
Input Multiple Output ◽  
Cramer Rao Bound

The problem of Cramer-Rao bound for parameter estimation in norrowband bistatic Multiple-Input Multiple-Output (MIMO) radar system is considered. In this paper, we propose a new narrowband signal model to accurately estimate parameter from a moving target. The Cramer-Rao bound for target parameter estimation is derived and computed in closed form which shows that the optimal performance is achieved. Target location and parameter estimation performances are evaluated and studied theoretically and via simulations.

scholarly journals Energy Efficient Fractional Particle Swarm Optimization Based Power Allocation in MIMO-NOMA System

2019 ◽  
Vol 8 (11) ◽  
pp. 1933-1939
Keyword(s):  
Particle Swarm Optimization ◽  
Power Allocation ◽  
Optimization Algorithm ◽  
Spectral Power ◽  
Multiple Input Multiple Output ◽  
Particle Swarm ◽  
Achievable Rate ◽  
Swarm Optimization ◽  
Multiple Input ◽  
Input Multiple Output

Non-Orthognal Multiple Access (NOMA) is a key technology used for improving the achievable rate in Multiple Input Multiple Output (MIMO) wireless networks of the next generation. In MIMO-NOMA systems the Energy Efficiency (EE) needs to be improved by a Fractional Particle Swarm Optimization Algorithm (FPSO) based on user ordering. To recommend capable energy and power allocation in the platform efficiently, the proposed optimization algorithm prioritizes the users based on satisfying the quality of service (QoS) and maximum power constraints. The FPSO algorithm prioritizes the users in optimal way by using objective function. The simulated results are analyze using the assessment metrics, like Bit Error Rate (BER), achievable rate, energy and spectral power. The performance of the FPSO-based power allocation approach is showing the higher spectral power, energy, achievable rate are 113.1915dB, 19.4898dB, 81.19153Mbps and lower BER of 0.0000152 respectively.

Parameter Estimation and Cramer-Rao Bound in Wideband Bistatic MIMO Radar System

2015 ◽  
Vol 713-715 ◽  
pp. 651-655 ◽  
Author(s):  
Li Li
Keyword(s):  
Parameter Estimation ◽  
Fractional Fourier Transform ◽  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Radar System ◽  
Novel Approach ◽  
Direction Of Departure ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Cramer Rao Bound

The problem of target localization and parameter estimation in wideband bistatic Multiple-Input Multiple-Output (MIMO) radar system is considered. In this paper, we use a novel approach to estimate Doppler stretch and time delay in fractional Fourier transform (FRFT) domain. We also develop two sub-array models to accurately estimate the direction-of-departure (DOD) and the direction-of-arrival (DOA). Furthermore, the Cramér-Rao bound for target parameter estimation is derived and computed in closed form. Parameter estimation performances are evaluated and studied theoretically and via simulations

Study on the Compressed Matrices in Compressed Sensing Trilinear Model

2014 ◽  
Vol 556-562 ◽  
pp. 3380-3383 ◽  
Author(s):  
Shu Li ◽  
Xiao Fei Zhang
Keyword(s):  
Compressed Sensing ◽  
Multiple Input Multiple Output ◽  
Estimation Algorithm ◽  
Mimo Radar ◽  
Angle Estimation ◽  
Trilinear Decomposition ◽  
Trilinear Model ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Simulation Results

In this paper, we make study on the compressed matrices in the compressed sensing trilinear model-based angle estimation algorithm, whose complexity is lower than conventional trilinear decomposition-based method, due to the use of compressed matrices. And we take the problem of angle estimation for bistatic multiple-input multiple-output (MIMO) radar as an example. Simulation results can provide reference for the choice of compressed matrices.

Target Localization for Distributed Multiple-Input Multiple-Output Radar Using Capon Algorithm with Diagonal Loading

2012 ◽  
Vol 229-231 ◽  
pp. 1599-1604
Author(s):  
Jin Li Chen ◽  
Jia Qiang Li ◽  
Yan Ping Zhu
Keyword(s):  
High Resolution ◽  
Covariance Matrix ◽  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Target Localization ◽  
Diagonal Loading ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Simulation Results ◽  
High Level

The distributed multiple-input multiple-output (MIMO) radar can achieve the high- resolution capabilities of target localization by coherent processing, far exceeding the bandwidth-dependent resolution of traditional radar. The conventional beam former synchronizing the phase across the widely separated transmitting and receiving antennas creates high level sidelobes that causes ambiguity in target localization. The Capon beam former with lower level sidelobes for target localization suffers from the irreversible of the covariance matrix when the numbers of transmitting and receiving antennas increase. Thus, the Capon algorithm with diagonal loading is applied to distributed MIMO radar for target localization with lower level sidelobes. Simulation results are presented to verify the effectiveness of the proposed method.

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