Parameter estimation and multi-pulse target detection of MIMO radar

Gao, Chang Qing; Zhou, Huamin; Wu, Ruowu; Xu, Xiong; Shen, Fei; Guo, Zhongyi

doi:10.1109/tencon.2016.7848137

Cited by 8 publications

(10 citation statements)

References 14 publications

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“…Unlike the LS method (see Figure 2(a)), the estimator has almost no sidelobe so this condition is advantageous for overcoming strong interference and jamming (see Figure 2(b)). This fact supports the results obtained by [8] regarding the emphasis on sidelobe.…”

Section: ) Effect Of Estimator Typessupporting

confidence: 92%

“…To overcome this problem, adaptive estimators are used. There are many adaptive estimators such as Capon, amplitude, and phase estimation (APES), etc [8].…”

Section: Introductionmentioning

confidence: 99%

“…After the detection performance expressions of this radar are obtained, namely the probability of detection and the probability of false alarms, evaluation and validation are carried out on them at the same time comparing their performance against other radars by considering aspects such as Signal to Noise Ratio (SNR) and the number of subarrays in Tx. Thus, the main contributions of this paper that have not been previously reported, including by [5], [8], and [11] are summarized as:…”

Section: Introductionmentioning

confidence: 99%

“…1) The formulation and evaluation of parameter estimation on the PMIMO radar uses the Capon estimator approach because in [5] only the LS estimator is applied to all radars while in [8] the type of radar is the MIMO radar. 2) The parameter estimation using the Capon method considers the effect of target angle resolution, the variation of the target RCS, and variation in the number of subarrays at Tx of this radar including the influence of the jammer.…”

Section: Introductionmentioning

confidence: 99%

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Parameter Estimation and Target Detection of Phased-MIMO Radar Using Capon Estimator

Tahcfulloh

Hardiwansyah

2020

indones.j.electron.telecommun.

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Phased-Multiple Input Multiple Output (PMIMO) radar is multi-antenna radar that combines the main advantages of the phased array (PA) and the MIMO radars. The advantage of the PA radar is that it has a high directional coherent gain making it suitable for detecting distant and small radar cross-section (RCS) targets. Meanwhile, the main advantage of the MIMO radar is its high waveform diversity gain which makes it suitable for detecting multiple targets. The combination of these advantages is manifested by the use of overlapping subarrays in the transmit (Tx) array to improve the performance of parameters such as angle resolution and detection accuracy at amplitude and phase proportional to the maximum number of detectable targets. This paper derives a parameter estimation formula with Capon's adaptive estimator and evaluates it for the performance of these parameters. Likewise, derivation for expressions of detection performance such as the probability of false alarm and the probability of detection is also given. The effectiveness and validation of its performance are compared to conventional estimator for other types of radars in terms of the effect of the number of target angles, the RCS of targets, and variations in the number of subarrays at Tx of this radar. Meanwhile, the detection performance is evaluated based on the effect of Signal to Noise Ratio (SNR) and the number of subarrays at Tx. The evaluation results of the estimator show that it is superior to the conventional estimator for estimating the parameters of this radar as well as the detection performance. Having no sidelobe makes this estimator strong against the influence of interference and jamming so that it is suitable and attractive for the design of radar systems. Root mean square error (RMSE) on magnitude detection from LS and Capon estimators were 0.033 and 0.062, respectively. Meanwhile, the detection performance for this radar has the probability of false alarm above 10-4 and the probability of detection of more than 99%.

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Section: ) Effect Of Estimator Typessupporting

confidence: 92%

“…To overcome this problem, adaptive estimators are used. There are many adaptive estimators such as Capon, amplitude, and phase estimation (APES), etc [8].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Parameter Estimation and Target Detection of Phased-MIMO Radar Using Capon Estimator

Tahcfulloh

Hardiwansyah

2020

indones.j.electron.telecommun.

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show abstract

“…Motivated by developments in MIMO communication systems, MIMO technology is introduced for radar to overcome the phenomenon of degradation which is caused by RCS fluctuations [ 162 ], to improve the spatial spectral resolution [ 163 ], to restrain strong interference [ 164 ], and so on. Furthermore, this technology can be broadly categorized into four areas: spatial diversity radar, localization using multi-lateration radar, high spatial resolution radar using regular sparse arrays, and non-causal radar-transmit beamforming [ 165 ].…”

Section: Conclusion and Perspectivementioning

confidence: 99%

Wuhan Ionospheric Oblique Backscattering Sounding System and Its Applications—A Review

Shi

Yang

Jiang

et al. 2017

Sensors

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For decades, high-frequency (HF) radar has played an important role in sensing the Earth’s environment. Advances in radar technology are providing opportunities to significantly improve the performance of HF radar, and to introduce more applications. This paper presents a low-power, small-size, and multifunctional HF radar developed by the Ionospheric Laboratory of Wuhan University, referred to as the Wuhan Ionospheric Oblique Backscattering Sounding System (WIOBSS). Progress in the development of this radar is described in detail, including the basic principles of operation, the system configuration, the sounding waveforms, and the signal and data processing methods. Furthermore, its various remote sensing applications are briefly reviewed to show the good performance of this radar. Finally, some suggested solutions are given for further improvement of its performance.

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An ESPRIT Parameter Estimation Algorithm Based on Non-circular Signal for MIMO Radar

Ying

Baidoo

et al. 2019

Wireless and Satellite Systems

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Parameter estimation and multi-pulse target detection of MIMO radar

Cited by 8 publications

References 14 publications

Parameter Estimation and Target Detection of Phased-MIMO Radar Using Capon Estimator

Parameter Estimation and Target Detection of Phased-MIMO Radar Using Capon Estimator

Wuhan Ionospheric Oblique Backscattering Sounding System and Its Applications—A Review

An ESPRIT Parameter Estimation Algorithm Based on Non-circular Signal for MIMO Radar

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