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DSP-based signal DOA estimation algorithm

Author: HuangQiuQin
Tutor: HeZiShu
School: University of Electronic Science and Technology
Course: Signal and Information Processing
Keywords: Antenna array DOA ADSP TS201
CLC: TN911.23
Type: Master's thesis
Year: 2010
Downloads: 135
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Abstract


With modern electronics, information technology is developing rapidly in the future requirements of all kinds of information warfare reconnaissance receiver must have a wider input bandwidth, higher resolution and sensitivity, stronger anti-interference ability, and can handle multiple incoming wave signals, able to adapt to modern more complex electromagnetic environment, and can be received in real-time or near real-time data processing and other features. This article is based on wideband digital channelized receiver hardware platform, using ADSP TS201 chip processing channelized data after the final completion of the signal source direction estimation. Spatial spectrum estimation array signal processing technology is an important research direction, is now the electronics, communications, radar and other areas of research focus. In recent decades, with the rapid development of signal processing techniques, the use of array signal processing techniques to achieve the signal source direction estimation has become the modern surveillance system key technologies. Therefore, this paper studied the super-resolution signal angle of arrival (DOA) estimation of the relevant algorithm, described in detail based on uniform circular array signal DOA estimation of correlation algorithm presented has practical application value to improve the algorithm and MATLAB simulation, experimental data to verify the correctness of the algorithm and the estimates of the performance of these algorithms. In addition, this paper also uses integrated four DSP (ADSP TS201) chip digital signal processing boards as the hardware platform, the relevant spatial spectrum estimation algorithm for wideband signals sub-band estimates. To meet the channelized receiver received massive amounts of data for real-time processing requirements, hardware implementation part of this spatial spectrum estimation algorithm of choice, then focus on the estimation accuracy and computational considerations and other factors. Based on the uniform circular array, respectively, using the MVDR based on iterative inversion algorithm and the MUSIC algorithm based on improved PASTd subchannel data on real-time direction finding. Finally, to complete the hardware system simulation and analysis of this array element involved nine uniform circular array spatial spectrum estimation system estimation performance is to verify the signal to noise ratio, sampling data snapshots and other factors on DOA estimation accuracy and resolution, etc. Performance. This article is based on nine array element uniform circular array spatial spectrum estimation system for signal DOA estimation techniques for research and analysis through simulation, comparison and analysis to draw some meaningful conclusions, as the signal source spatial spectrum estimation of actual project implementation provides reference.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Communication theory > Information Theory > Signal detection and estimation
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