Modified MUSIC estimation for correlated signals with compressive sampling arrays

作者：Jing Yan^*; Feng Naizhang; Shen Yi

来源：Journal of Systems Engineering and Electronics, 2014, 25(5): 755-759.

DOI：10.1109/JSEE.2014.00087

• direction of arrival (DOA)
• compressive sampling array (CSA)
• modified multiple signal classification (MMUSIC)
• correlated signal

This paper addresses the issue of the direction of arrival (DOA) estimation under the compressive sampling (CS) framework. A novel approach, modified multiple signal classification (MMUSIC) based on the CS array (CSA-MMUSIC), is proposed to resolve the DOA estimation of correlated signals and two closely adjacent signals. By using two random CS matrices, a large size array is compressed into a small size array, which effectively reduces the number of the front end circuit. The theoretical analysis demonstrates that the proposed approach has the advantages of low computational complexity and hardware structure compared to other MMUSIC approaches. Simulation results show that CSA-MMUSIC can possess similar angular resolution as MMUSIC.

• 出版日期2014-10
• 单位哈尔滨工业大学