Abstract
We propose a new algorithm to suppress the jammer signals and estimate the direction of arrival (DOA) of the signal of interest (SOI) for collocated MIMO radar by using the matrix pencil method (MPM) and the generalized likelihood ratio test (GLRT). The conventional GLRT divides the visible region into small angle samples, suppresses the jammer signals at each angle sample, and then estimates the DOA of the SOI. In the proposed algorithm, we extract the eigenvalues of received signals regardless of the SOI and jammer by using the MPM, which contain the information of the DOA of SOIs or jammers. Then, in order to suppress the jammers, we apply the GLRT to the extracted DOAs instead of to the entire visible region. By applying the MPM again to the received signals in which the jammer signals are suppressed, we can estimate the DOAs of the SOI. Since the proposed algorithm does not depend on the number of angle samples, it shows fast and accurate results regardless of the angle resolution. In order to verify the proposed algorithm, we compared the results with the results of the conventional GLRT and show the computing time.
Highlights
Multi-input multioutput (MIMO) radar technologies have been of interest in many areas of military and civilians, and it has been verified that multi-input multioutput (MIMO) radar has a lot of potential advantages over conventional phased-array radar [1,2,3,4,5,6,7,8]
Suppressing the jammer signals discriminated by the generalized likelihood ratio test (GLRT) method, the second step of matrix pencil method (MPM) can successfully extract the direction of arrival (DOA) of the signal of interest (SOI) from (24)
We propose a new jammer suppression technique for MIMO radar by exploiting the MPM and the GLRT
Summary
Multi-input multioutput (MIMO) radar technologies have been of interest in many areas of military and civilians, and it has been verified that MIMO radar has a lot of potential advantages over conventional phased-array radar [1,2,3,4,5,6,7,8]. In [5, 9], many researchers have shown that, by utilizing orthogonal waveforms, a MIMO radar system with spatially diverse transmitters and receivers, can provide advantages in target detection and parameter estimation compared to a traditional phased array system [10]. The conventional GLRT divides the entire angle region or the visible region Ω into an angle sample Δθ = Ω/Nθ, where Nθ is the number of angle samples [1, 16,17,18,19,20] It performs suppression of the jammer signals or estimation of the DOAs of the SOI, by comparison with the given threshold value at each angle sample. In the other case, when the DOAs of the signals match the angle sample or do not, we compare the results of the proposed algorithm with those of the conventional one. We derive the computational complexity of the proposed algorithm and compare it with that of the conventional one
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