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Un algoritmo RARE mejorado de dos etapas para la localización de fuentes mixtas de campo lejano y campo cercano bajo
Keyu Chen1, Ke Deng1, Jianguo Zhang1
1Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Sensors (Basel, Switzerland)
|February 13, 2026
Resumen
El algoritmo ITS-RARE localiza con precisión fuentes mixtas de campo lejano y cercano, incluso con acoplamiento mutuo desconocido. Este novedoso método mejora la clasificación de fuentes y la precisión de la estimación al tiempo que reduce la carga computacional.
Área de la Ciencia:
- Procesamiento de Señales
- Procesamiento de Señales de Arreglos
- Electromagnetismo
Sus antecedentes:
- La localización precisa de fuentes es crucial en diversas aplicaciones.
- Los métodos existentes tienen dificultades con fuentes mixtas de campo lejano/cercano y acoplamiento mutuo desconocido.
- El acoplamiento mutuo degrada significativamente el rendimiento del arreglo.
Objetivo del estudio:
- Proponer un algoritmo mejorado de reducción de rango de dos etapas (ITS-RARE).
- Permitir la estimación conjunta de las DOA de fuentes de campo lejano (FF) y los factores de acoplamiento mutuo sin precalibración.
- Lograr la estimación del rango en forma cerrada para fuentes de campo cercano (NFS) y reducir la complejidad computacional.
Principales métodos:
- Explotación de los autovectores para la reducción del rango para identificar los coeficientes de acoplamiento mutuo.
- Estimación conjunta de las DOA de fuentes FF y los factores de acoplamiento mutuo.
- Reconstrucción de la matriz de covarianza (CMR) para preservar la apertura completa del arreglo durante la clasificación de fuentes FF/NF.
- Estimación del rango en forma cerrada para NFS.
Principales resultados:
- Se logró con éxito la estimación conjunta de las DOA de fuentes FF y los factores de acoplamiento mutuo.
- Permitió la estimación precisa del rango en forma cerrada para NFS.
- Redujo significativamente la complejidad computacional en comparación con los algoritmos existentes.
- Preservó la apertura completa del arreglo, mejorando la precisión de la estimación.
Conclusiones:
- El algoritmo ITS-RARE ofrece una solución computacionalmente eficiente y efectiva para localizar fuentes mixtas FF/NF.
- El método estima con precisión las DOA y los rangos al tiempo que maneja el acoplamiento mutuo desconocido.
- La preservación de la apertura efectiva del arreglo conduce a una mejora en la precisión de la localización.
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