Abstract

We proposed a transmit/receive spatial smoothing with improved effective aperture approach for angle and mutual coupling estimation in bistatic MIMO radar. Firstly, the noise in each channel is restrained, by exploiting its independency, in both the spatial domain and temporal domain. Then the augmented transmit and receive spatial smoothing matrices with improved effective aperture are obtained, by exploiting the Vandermonde structure of steering vector with uniform linear array. The DOD and DOA can be estimated by utilizing the unitary ESPRIT algorithm. Finally, the mutual coupling coefficients of both the transmitter and the receiver can be figured out with the estimated angles of DOD and DOA. Numerical examples are presented to verify the effectiveness of the proposed method.

Highlights

  • A novel array radar named as multiple-input multiple-output (MIMO) radar has improved the progress of array signal processing [1, 2]

  • We proposed a transmit/receive spatial smoothing with improved effective aperture (TRSSIA) method for joint direction of departure (DOD) and direction of arrival (DOA) estimation in bistatic MIMO radar with unknown mutual coupling

  • We investigate the angle estimation performances of multiple signal classification (MUSIC)-Like, ESPRIT-Like, and tensorbased real-valued subspace methods and our proposed TRSSIA method

Read more

Summary

Introduction

A novel array radar named as multiple-input multiple-output (MIMO) radar has improved the progress of array signal processing [1, 2]. In [16], a spatial smoothing with improved aperture (SSIA) method is proposed to estimate DOA for the phased array radar; it improves the effective array aperture twice larger than the conventional spatial smoothing approaches This technique can be used to estimate DOD and DOA for bistatic MIMO radar. We proposed a transmit/receive spatial smoothing with improved effective aperture (TRSSIA) method for joint DOD and DOA estimation in bistatic MIMO radar with unknown mutual coupling. The proposed approach restrains white Gaussian noise and takes full advantage of the received data, so it provides better angle estimation performance It can deal with more than two coherent targets. A[i : j, :] denotes the ith to the jth rows of A

Bistatic MIMO Radar Signal Model
Proposed Algorithm
Simulation Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call