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http://dx.doi.org/10.7776/ASK.2007.26.2.087

Real-Time Implementation of Active Classification Using Cumulative Processing  

Park, Gyu-Tae (넥스원퓨처(주))
Bae, Eun-Hyon (경북대학교 전자전기컴퓨터학부)
Lee, Kyun-Kyung (경북대학교 전자전기컴퓨터학부)
Publication Information
The Journal of the Acoustical Society of Korea / v.26, no.2, 2007 , pp. 87-94 More about this Journal
Abstract
In active sonar system, aspect angle and length of a target can be estimated by calculating the cross-correlation between left and right split-beams of a LFM(Linear Frequency Modulated) signal. However, high-resolution performances in bearing and range are required to estimate the information of a remote target. Because a certain higher sampling frequency than the Nyquist sampling frequency is required in this performance, an over-sampling process through interpolation method should be required. However, real-time implementation of split-beam processing with over-sampled split-beam outputs on a COTS(commercial off-the-shelf) DSP platform limits its performance because of given throughput and memory capacity. This paper proposes a cumulative processing algorithm for split-beam processing to solve the problems. The performance of the proposed method was verified through some simulation tests. Also, the proposed method was implemented as a real-time system using an ADSP-TS101.
Keywords
HMS; LFM; Classification; Split-beam; Cumulative processing;
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