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2019•Unpublished venueRequires access

Construction of FDMAS in Baseband and Its Performance Evaluation

Ryoya Kozai, Kan Okubo, Norio Tagawa, Takasuke Irie, Masasumi Yoshizawa

Open publisher page 5 citations

Abstract

FDMAS (Filtered-Delay Multiply and Sum) has attracted attention in recent years as a receiving beamforming method with high lateral resolution. Since the FDMAS is processing in the RF (Radio Frequency) band, in order to reduce the sampling rate and the amount of memory required, realization in the baseband is desirable. On the other hand, we have proposed the super resolution method (SCM: Super-resolution FM-Chirp correlation Method) in the range direction as baseband processing. By integrating this with the FDMAS, we can expect super resolution in both the range and lateral directions. Considering processing transparency, it is desirable to extend the FDMAS to baseband processing. In this study, both methods are integrated by using the result of the SCM as the weight of the FDMAS beamforming, and its performance is evaluated.

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What this paper is about

FDMAS (Filtered-Delay Multiply and Sum) has attracted attention in recent years as a receiving beamforming method with high lateral resolution. Since the FDMAS is processing in the RF (Radio Frequency) band, in order to reduce the sampling rate and the amount of memory required, realization in the baseband is desirable. On the other hand, we have proposed the super resolution method (SCM: Super-resolution FM-Chirp correlation Method) in the range direction as baseband processing. By integrating this with the FDMAS, we can expect super resolution in both the range and lateral directions. Considering processing transparency, it is desirable to extend the FDMAS to baseband processing. In this study, both methods are integrated by using the result of the SCM as the weight of the FDMAS beamforming, and its performance is evaluated.

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Available abstract

FDMAS (Filtered-Delay Multiply and Sum) has attracted attention in recent years as a receiving beamforming method with high lateral resolution. Since the FDMAS is processing in the RF (Radio Frequency) band, in order to reduce the sampling rate and the amount of memory required, realization in the baseband is desirable. On the other hand, we have proposed the super resolution method (SCM: Super-resolution FM-Chirp correlation Method) in the range direction as baseband processing. By integrating this with the FDMAS, we can expect super resolution in both the range and lateral directions. Considering processing transparency, it is desirable to extend the FDMAS to baseband processing. In this study, both methods are integrated by using the result of the SCM as the weight of the FDMAS beamforming, and its performance is evaluated.

Key concepts: Baseband, Beamforming, Computer science, Electronic engineering, Realization (probability), Chirp, Line code, Resolution (logic)

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