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FRACTAL GEOMETRY-BASED RESOURCE ALLOCATION FOR MIMO RADAR
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DOI：10.1142/S0218348X24400474.png)
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The netted Collocated Multiple-Input Multiple-Output (C-MIMO) radar systems have attracted widespread attention due to their high resolution and excellent target detection capabilities. The self-similarity and spatial filling properties of fractal geometry enable antenna layouts to function effectively across multiple scales and frequency bands, which helps improve the overall performance and resource utilization of systems. In this paper, a radar array element model based on the Fudgeflake fractal is used to establish a target localization performance model directly related to power bandwidth allocation. Based on the model, a three-step solving strategy was designed with the Sequence Quadratic Program (SQP) algorithm as the foundation to achieve optimized allocation of power and bandwidth while maximizing overall performance. Experimental results demonstrate that under this algorithm, the use of power bandwidth resources is optimized through fractal geometry-based design.
Keyword:
Collocated MIMO Radar
Fractal Geometry
Resource Allocation
Power Optimization
Sparrow Search Algorithm
期刊
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2.9
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2.8K
被引数:
5.6K
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