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Fractal detector design and analysis for multi‐input multi‐output radar system
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The fractal dimension has been used in the monostatic radar to improve the target detection performance, especially in non‐homogeneous clutter environments. In this study, the application of fractal dimension is extended to multi‐input multi‐output (MIMO) radar. A target detection method for MIMO radar using the fractal dimension measurements is developed. Two types of fractal dimension definitions, i.e. Hausdorf dimension and box‐counting dimension are explained and the characteristics of the box‐counting dimension are analysed in detail. Then, a fractal dimension estimation‐based detector is presented and its performance is analysed for colocated MIMO and statistical MIMO. The simulations results verify the theoretical founding of the proposed target detector for MIMO radar based on the fractal dimension estimation.
Institution of Engineering and Technology (IET)
Title: Fractal detector design and analysis for multi‐input multi‐output radar system
Description:
The fractal dimension has been used in the monostatic radar to improve the target detection performance, especially in non‐homogeneous clutter environments.
In this study, the application of fractal dimension is extended to multi‐input multi‐output (MIMO) radar.
A target detection method for MIMO radar using the fractal dimension measurements is developed.
Two types of fractal dimension definitions, i.
e.
Hausdorf dimension and box‐counting dimension are explained and the characteristics of the box‐counting dimension are analysed in detail.
Then, a fractal dimension estimation‐based detector is presented and its performance is analysed for colocated MIMO and statistical MIMO.
The simulations results verify the theoretical founding of the proposed target detector for MIMO radar based on the fractal dimension estimation.
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