Abstract
Benefitting from the independent target echoes of diversity channels, diversity MIMO radar can efficiently improve system performance, such as target detection and parameter estimation. Due to the fact that the RCS (radar cross section) of complex target may vary with the different transmitted carrier frequencies and array geometries, many recent researches study at the background of diversity MIMO radar equipped with widely separated array antennas or working at multiple carrier frequencies, respectively. In this paper, a new MIMO radar system combining the spatial and frequency diversities is investigated in the presence of signal-dependent clutter, which is called spatial-frequency diversity MIMO radar. With the prior information of target and clutter, a new method for joint optimization of transmitted waveforms and receiving filters is proposed to enhance the target detection ability of spatial-frequency diversity MIMO radar. Inspired by the MIMO communication system, the water-filling algorithm is introduced into the transmitted energy allocation problem for each carrier frequency channel. Simulation results show that the proposed system has a better performance in output signal-to-clutter-noise ratio (SCNR) compared to conventional diversity MIMO radar system.
Highlights
The transmitted waveforms optimization problem of MIMO radar is a very popular issue in radar research field [1,2,3,4,5]
The extra degrees of freedom brought by diversity information enable the system to obtain better performance in target detection and parameter estimation [6,7,8]
The total transmitted energy of all frequency channels are set as E = 1
Summary
The transmitted waveforms optimization problem of MIMO radar is a very popular issue in radar research field [1,2,3,4,5]. Much diversity information provides much more extra degrees of freedom to design transmitted waveforms, receiving filters and energy allocation of frequency channels, which makes it possible for spatial-frequency diversity MIMO radar to achieve better system performance than conventional diversity MIMO radar. All these methods are not extended to spatial-frequency diversity MIMO radar yet Unlike these references, this paper proposes a joint optimization method of transmitted waveforms and receiving filters for spatial-frequency diversity MIMO radar to improve the target detection performance against clutters. Simulation results show that the water-filling algorithm significantly improves the system performance Combining these methods, spatial-frequency diversity MIMO radar achieves a greatly improved target detection performance compared to conventional MIMO radar systems.
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