Transmit Signal and Receive Filter Design in Co-located MIMO Radar Using a Transmit Weighting Matrix

This paper focuses on the problem of H∞ filter design for continuous Takagi-Sugeno (T-S) fuzzy systems with an interval time-varying delay in the state. Based on the free weighting matrix method combined with a matrix decoupling approach, some new sufficient results are proposed in forms of linear matrix inequalities (LMIs), which can achieve much less conservative feasibility conditions. Finally, the effectiveness of the proposed method is demonstrated ba an example.

Download Full-text

Transmit Waveform/Receive Filter Design for MIMO Radar With Multiple Waveform Constraints

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2017.2787115 ◽

2018 ◽

Vol 66 (6) ◽

pp. 1526-1540 ◽

Cited By ~ 36

Author(s):

Linlong Wu ◽

Prabhu Babu ◽

Daniel P. Palomar

Keyword(s):

Filter Design ◽

Mimo Radar

Download Full-text

Waveform weighting matrix design for robust transmit beampattem formation of MIMO radar

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) ◽

10.1109/itnec.2019.8729336 ◽

2019 ◽

Author(s):

Cheng Chen ◽

Wenhao Zeng ◽

Zeshi Yuan ◽

Xiaohua Zhu ◽

Hongtao Li

Keyword(s):

Mimo Radar ◽

Weighting Matrix ◽

Matrix Design

Download Full-text

SINR improvement based on joint design of transmit covariance matrix and receive filter design for colocated MIMO radar

IET Communications ◽

10.1049/cmu2.12092 ◽

2020 ◽

Author(s):

Sadjad Imani ◽

Mohammad Mahdi Feraidooni ◽

Davood Gharavian ◽

Mohammad Mahdi Nayebi

Keyword(s):

Covariance Matrix ◽

Filter Design ◽

Mimo Radar ◽

Joint Design

Download Full-text

A Novel Approach toℓ2-ℓ∞Filter Design for T-S Fuzzy Systems with Multiple Time-Varying Delays

Mathematical Problems in Engineering ◽

10.1155/2013/298268 ◽

2013 ◽

Vol 2013 ◽

pp. 1-11

Author(s):

Xiaoyu Zhang ◽

Cheng Gong ◽

Zhen Zeng

Keyword(s):

Fuzzy Systems ◽

Filter Design ◽

Disturbance Attenuation ◽

Linear Matrix ◽

Multiple Time ◽

Time Varying ◽

Weighting Matrix ◽

Novel Approach ◽

Delay Dependent ◽

Filtering Problem

This paper investigates theℓ2-ℓ∞filtering problem of T-S fuzzy systems with multiple time-varying delays. First, by the Lyapunov-Krasovskii functional approach and free-weighting matrix method, a delay-dependent sufficient condition onℓ2-ℓ∞-disturbance attenuation is presented, in which both stability and prescribedℓ2-ℓ∞performance are required to be achieved for the filtering-error systems. Then, based on the condition, the full-order and reduced-order delay-dependentℓ2-ℓ∞filter design schemes for T-S fuzzy multiple time-varying delays systems are developed in terms of linear matrix inequality (LMI). Finally, an example is given to illustrate the effectiveness of the result.

Download Full-text

Robust ℋ∞ filtering for vehicle sideslip angle estimation with sampled-data measurements

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331215627001 ◽

2016 ◽

Vol 39 (7) ◽

pp. 1059-1070 ◽

Cited By ~ 8

Author(s):

Changzhu Zhang ◽

Qijun Chen ◽

Jianbin Qiu

Keyword(s):

Filter Design ◽

Convex Polytope ◽

Disturbance Attenuation ◽

Sampled Data ◽

Parameter Uncertainties ◽

Sideslip Angle ◽

Angle Estimation ◽

Weighting Matrix ◽

Error System ◽

Disturbance Attenuation Level

In this paper, the problem of vehicle sideslip angle estimation is studied based on a single-track model, and an approach to robust ℋ∞ filter design with sampled-data measurements is proposed. Considering the changes of the vehicle mass, the moment of inertia about the yaw axis and the nonlinear relationships between the road surface and tyres, the vehicle lateral dynamics are characterized by a system with parameter uncertainties, which belong to a given convex polytope. By utilizing an input delay approach, the filtering error system is transformed into a continuous-time system with time delay in the state. By introducing a Lyapunov–Krasovskii functional and a free weighting matrix technique, LMI-based conditions have been formulated for the stability analysis of the filtering error system and the existence of admissible filters, which ensure the filtering error system is asymptotically stable with a prescribed ℋ∞ disturbance attenuation level. Finally, some simulation results are provided to illustrate the effectiveness of the proposed method.

Download Full-text