Subspace based DOA estimation of DS-CDMA signals

Amir Ghasemian (), Ali Olfat () and Mojtaba Amiri ()
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Amir Ghasemian: University of Tehran
Ali Olfat: University of Tehran
Mojtaba Amiri: University of Tehran

Telecommunication Systems: Modelling, Analysis, Design and Management, 2023, vol. 83, issue 1, No 2, 17-28

Abstract: Abstract This paper presents a subspace blind method to estimate the direction of arrival of direct sequence code division multiple access signals in a multipath fading environment. The proposed method is based on signal/noise subspace approach. For enhancing the results, the problem is formulated based on both signal and noise subspaces to exploit structures of desired signal, self interference and multiple access interference simultaneously. The main idea in this paper is based on fitting the extended subspace spanned by the desired signature waveform in all different paths into the estimated extended signal subspace. The proposed method is blind in the sense that it utilizes only the desired user’s code and its corresponding path delays. The performance of the proposed method is compared to the Cramer–Rao lower bound. We also propose a method for estimating relative power of different paths in multipath code division multiple access signals.

Keywords: DS-CDMA; Multipath fading channel; Subspace methods; DOA estimation (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11235-023-01000-w

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