Detector and Waveform Design for MIMO Radar System with Noisy Channel Estimation

Du, Chaoran; Thompson, John; Pétillot, Yvan

doi:10.1109/taes.2012.6237595

Cited by 5 publications

(3 citation statements)

References 31 publications

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“…In this subsection, we show how orthogonal clustering can help reduce the computational complexity of the MMSE estimator in (7). To do so, in performing the sum (7), we consider only the supports S that are confined to the orthogonal clusters.…”

Section: B Computation Reduction By Ocmentioning

confidence: 99%

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Low-Complexity Bayesian Estimation of Cluster-Sparse Channels

Ballal

Al-Naffouri

Ahmed

2015

IEEE Trans. Commun.

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Section: B Computation Reduction By Ocmentioning

confidence: 99%

“…C HANNEL impulse response estimation is an important wireless communications topic that finds applications in wireless radio communications [1]- [3], underwater acoustic commutations [4]- [6], as well as in SONAR and radar systems [7,8]. The literature is rich in methods that can be applied to estimate a channel impulse response.…”

Section: Introductionmentioning

confidence: 99%

Low-Complexity Bayesian Estimation of Cluster-Sparse Channels

Ballal

Al-Naffouri

Ahmed

2015

IEEE Trans. Commun.

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“…In conventional MIMO radar, the target diversity information of independent channels can be extracted by matched filters. 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]. However, in the presence of clutter, the conventional MIMO radar is unable to suppress clutter effectively for the reason of the intrinsic correlation between the clutter and target echoes.…”

Section: Introductionmentioning

confidence: 99%

Transmit Waveform Optimization for Spatial-Frequency Diversity MIMO Radar in the Presence of Clutter

Tang

Sheng

et al. 2014

International Journal of Antennas and Propagation

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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.

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Parameter identifiability of space-time MIMO radar

Peng²,

Luo

et al. 2019

Digital Signal Processing

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Detector and Waveform Design for MIMO Radar System with Noisy Channel Estimation

Cited by 5 publications

References 31 publications

Low-Complexity Bayesian Estimation of Cluster-Sparse Channels

Low-Complexity Bayesian Estimation of Cluster-Sparse Channels

Transmit Waveform Optimization for Spatial-Frequency Diversity MIMO Radar in the Presence of Clutter

Parameter identifiability of space-time MIMO radar

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