Joint estimation of DOA and time-delay in underwater localization

نویسندگان

  • QunFei Zhang
  • Jianguo Huang
چکیده

Joint estimation of direction of arrival (DOA) and time delay plays a great role in source localization, which attracts many researchers not only in the areas of radar, sonar, geological exploration but also in wireless communication. [1][2][3][4] M. Wax applies approximate MLE with iteration algorithm , which convert a 2-D search into two or three 1-D search. A.J.van der Veen use 2-D ESPRIT to conduct joint estimation . Both of them show good performance at a cost of large computation. And both of them require deconvolution in frequency domain to transfer time-delay into phase. The deconvolution leads to two problems. One is blowing up noise, the other is leading to spurious peak if the emitted signal is non-minimum phase. In this paper, a simple method using 1-D ESPRIT is presented to complete joint estimation of DOA and time-delay, which requires no deconvolution. It is suitable for active underwater localization where non-minimum phase signal is frequently employed. The method can estimate parameters of three reflectors with big difference between amplitudes as large as 12dB. The statistical performance of new estimators and the probability of correct pairing are given by computer simulations. It shows that better performance of the new method can be achieved for multiple source localization even in low SNR. 1 Modeling The emit signal is a sine wave with an envelop s(t). An Melement d-spaced uniform linear sensor array is employed as a receiver. Assume that there are p reflectors in water. If a single echo wave is sampled with N points in time domain, the complex envelop of received echo can be written as a N M matrix: X s t b j a N i i i T i i p = − + = ∑ ( ) exp( ) ( ) τ φ θ

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Joint DOA and Delay Estimation for 3D Indoor Localization in Next Generation WiFi and 5G

This paper address the joint direction-of-arrival (DOA) and time delay (TD) estimation problem, which is a key technique for accurate indoor localization in next generation WiFi and 5G networks. We propose an efficient approximate maximum likelihood (AML) algorithm for this problem, which updates the DOA and TD parameters alternatingly. Then, we present closed-form Cramer-Rao bound (CRB) for jo...

متن کامل

Implementation 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 کامل

DOA Estimation for Underwater Wideband Weak Targets Based on Coherent Signal Subspace and Compressed Sensing

Direction of arrival (DOA) estimation is the basis for underwater target localization and tracking using towed line array sonar devices. A method of DOA estimation for underwater wideband weak targets based on coherent signal subspace (CSS) processing and compressed sensing (CS) theory is proposed. Under the CSS processing framework, wideband frequency focusing is accompanied by a two-sided cor...

متن کامل

DOA Estimation Based on Compressive Sensing Method in Micro Underwater Location Platform

Based on a space sparse representation of underwater target, and combining compressed sensing sparse reconstruction principle, we present a new high-accuracy DOA estimation method. The proposed method can be used in narrowband and wideband scenarios. We demonstrate the effectiveness of the proposed method on simulated data by plots of spatial spectra, computation time and root mean square error...

متن کامل

Three Dimensional Localization of an Unknown Target Using Two Heterogeneous Sensors

Heterogeneous wireless sensor networks consist of some different types of sensor nodes deployed in a particular area. Different sensor types can measure different quantity of a source and using the combination of different measurement techniques, the minimum number of necessary sensors is reduced in localization problems. In this paper, we focus on the single source localization in a heterogene...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1999