Direction of Arrival Estimation of OFDM Signals Using Cyclostationarity
نویسنده
چکیده
Direction of arrival estimation has many applications in communications. Though MUSIC and ESPRIT are by far the mostly studied algorithms, there have been growing interests in cyclostationarity based algorithms for their higher selectivity. In addition to carrier frequency and baud rate, OFDM signals show cyclostationarity caused by the cyclic prefix. In this paper we have studied the direction finding problem of OFDM signal making use of the cyclostationarity property. For this, we have modified the Cyclic MUSIC algorithm and applied it to OFDM signals in a strong interference environment. Results show that the cyclostationarity based Cyclic MUSIC algorithm can outperform the ordinary MUSIC.
منابع مشابه
On Improvements of Cyclic MUSIC
Many man-made signals encountered in communications exhibit cyclostationarity. By exploiting cyclostationarity, cyclic MUSIC has been shown to be able to separate signals with different cycle frequencies, thus, to be able to perform signal selective direction of-arrival (DOA) estimation. However, as will be shown in this paper, the DOA estimation of cyclic MUSIC is actually biased. We show in t...
متن کاملImplementation of the direction of arrival estimation algorithms by means of GPU-parallel processing in the Kuda environment (Research Article)
Direction-of-arrival (DOA) estimation of audio signals is critical in different areas, including electronic war, sonar, etc. The beamforming methods like Minimum Variance Distortionless Response (MVDR), Delay-and-Sum (DAS), and subspace-based Multiple Signal Classification (MUSIC) are the most known DOA estimation techniques. The mentioned methods have high computational complexity. Hence using...
متن کاملWindowing Effects of Short Time Fourier Transform on Wideband Array Signal Processing Using Maximum Likelihood Estimation
During the last two decades, Maximum Likelihood estimation (ML) has been used to determine Direction Of Arrival (DOA) and signals propagated by the sources, using narrowband array signals. The algorithm fails in the case of wideband signals. As an attempt by the present study to overcome the problem, the array outputs are transformed into narrowband frequency bins, using short time Fourier tran...
متن کاملWindowing Effects of Short Time Fourier Transform on Wideband Array Signal Processing Using Maximum Likelihood Estimation
During the last two decades, Maximum Likelihood estimation (ML) has been used to determine Direction Of Arrival (DOA) and signals propagated by the sources, using narrowband array signals. The algorithm fails in the case of wideband signals. As an attempt by the present study to overcome the problem, the array outputs are transformed into narrowband frequency bins, using short time Fourier tran...
متن کاملSignal bias removal with orthogonal transform for adverse mandarin speech recognition - Electronics Letters
OTTERSTEN, B., VIBERG, M., STOICA, P., and NEHORAI, A.: ‘Exact and large sample maximum likelihood techniques for parameter estimation and detection in array processing’ in HAYKIN, s., LITVA, J., and SHEPHERD, T. (Eds.): ‘Radar: Array Processing’ (Springer Verlag, Berlin, 1993) ch. 4, pp. 99-151 MARCOS, S. (Ed.): ‘Les mkthodes a haute resolution: traitement d’antenne et analyse spectrale’ (Herm...
متن کامل