Modified MUSIC Algorithm for Multiple Measurement Vector Models

Yun LIN; Qiang HU

doi:10.11999/JEIT180001

Volume 40 Issue 11

Oct. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(11): 2584-2589

Yun LIN, Qiang HU. Modified MUSIC Algorithm for Multiple Measurement Vector Models[J]. Journal of Electronics & Information Technology, 2018, 40(11): 2584-2589. doi: 10.11999/JEIT180001

Citation:

Yun LIN, Qiang HU. Modified MUSIC Algorithm for Multiple Measurement Vector Models[J]. Journal of Electronics & Information Technology, 2018, 40(11): 2584-2589. doi: 10.11999/JEIT180001

Yun LIN, Qiang HU. Modified MUSIC Algorithm for Multiple Measurement Vector Models[J]. Journal of Electronics & Information Technology, 2018, 40(11): 2584-2589. doi: 10.11999/JEIT180001

Citation:

Yun LIN, Qiang HU. Modified MUSIC Algorithm for Multiple Measurement Vector Models[J]. Journal of Electronics & Information Technology, 2018, 40(11): 2584-2589. doi: 10.11999/JEIT180001

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Modified MUSIC Algorithm for Multiple Measurement Vector Models

doi: 10.11999/JEIT180001

Yun LIN¹,
Qiang HU^{2
,
,}

1.
College of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
College of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Received Date: 2018-01-02
Rev Recd Date: 2018-06-04

Available Online: 2018-07-18

Publish Date: 2018-11-01

Abstract

Abstract

The Compressed Sensing (CS) Multiple Measurement Vector (MMV) model is used to solve multiple snapshots problem with the same sparse structure. MUltiple SIgnal Classification (MUSIC) is a common method in traditional array signal processing applications. However, when the number of snapshots is below sparsity performance will be dramatically deteriorated. Kim et al. derive a modified MUSIC spectral method and propose a Compressed Sensing MUSIC method (CS-MUSIC) combining the compression reconstruction method and the MUSIC algorithm, which can effectively overcome the problem of insufficient snapshot number. In this paper, Kim et al.’s conclusion is extended to the general case, and a Modified MUSIC (MMUSIC) algorithm is proposed based on the traditional MUSIC method and the CS-MUSIC method. The simulation results show that the proposed algorithm can effectively overcome the shortage of snapshots and has a higher reconstruction probability than the CS-MUSIC algorithm and the compressed sensing greedy algorithm.
- Compressed Sensing (CS),
- Multiple Measurement Vectors (MMV) model,
- Jointly sparsity,
- MUltiple SIgnal Classification (MUSIC)

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References(18)

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