Abstract
A novel unitary estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm, for the joint direction of arrival (DOA) and range estimation in a monostatic multiple-input multiple-output (MIMO) radar with a frequency diverse array (FDA), is proposed. Firstly, by utilizing the property of Centro-Hermitian of the received data, the extended real-valued data is constructed to improve estimation accuracy and reduce computational complexity via unitary transformation. Then, to avoid the coupling between the angle and range in the transmitting array steering vector, the DOA is estimated by using the rotation invariance of the receiving subarrays. Thereafter, an automatic pairing method is applied to estimate the range of the target. Since phase ambiguity is caused by the phase periodicity of the transmitting array steering vector, a removal method of phase ambiguity is proposed. Finally, the expression of Cramér–Rao Bound (CRB) is derived and the computational complexity of the proposed algorithm is compared with the ESPRIT algorithm. The effectiveness of the proposed algorithm is verified by simulation results.
Highlights
The multiple-input multiple-output (MIMO) radar [1,2], which utilizes multiple antennas to simultaneously transmit diverse waveforms and receive the reflected signals in similar ways, has many potential advantages [3]
The signal model of monostatic frequency diverse array (FDA)-MIMO radar is shown in Figure 1, which is configured with M-antenna-transmitting uniform linear array (ULA) and N-antenna-receiving ULA
We provide several simulation results to evaluate the performance of the proposed algorithm for angle and range estimation in monostatic FDA-MIMO radar with ULA
Summary
The multiple-input multiple-output (MIMO) radar [1,2], which utilizes multiple antennas to simultaneously transmit diverse waveforms and receive the reflected signals in similar ways, has many potential advantages [3]. For the FDA radar, the frequencies of each transmitting array element are different, which can lead to a range-angle-dependent beampattern [21]. A method based on nonuniform frequency increment was proposed to decouple the FDA beampattern [30]. A method based on estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm has been introduced to obtain the range and angle estimation and reduce the complexity [42], there are still some challenges, such as a low estimation performance, high complexity and phase ambiguity. An improved unitary ESPRIT method for angle and range estimation in monostatic.
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