Range-Bins-Based MIMO Frequency Diverse Array Radar With Logarithmic Frequency Offset

Khan, Wasim; Qureshi, Ijaz Mansoor; Basit, Abdul; Khan, Waseem S.

doi:10.1109/lawp.2015.2478964

Cited by 67 publications

(23 citation statements)

References 8 publications

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“…This section illustrates a low-complexity algorithm using partial DFT [19]. In ROI-based FMCW radar algorithm, L times N R point FFTs are performed in order to obtain L times N p range bins.…”

Section: Low-complexity Algorithm Using Partial Dftmentioning

confidence: 99%

“…However, there is a disadvantage in that the number of range bins calculated in the first FFT for range estimation is too large compared to the number of range bins used as inputs in the FFT for estimation of the second parameter. In [19], in order to reduce the complexity, a low-complexity algorithm has been proposed by employing partial discrete Fourier transform (DFT). This algorithm performs Doppler FFT only on meaningful range bins, not on all the range bins.…”

mentioning

confidence: 99%

“…In Section 2, we introduce and define FMCW radar systems and the FMCW radar algorithm using a 2D FFT. Section 3 addresses the low-complexity FMCW radar algorithms, that is, ROI-based algorithm [15][16][17] and partial DFT-based algorithm [19]. We compare the complexity of two algorithms and find the condition of low complexity of each algorithm.…”

mentioning

confidence: 99%

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Low-Complexity Joint Range and Doppler FMCW Radar Algorithm Based on Number of Targets

Kim

Jin

et al. 2019

Sensors

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A low-complexity joint range and Doppler frequency-modulated continuous wave (FMCW) radar algorithm based on the number of targets is proposed in this paper. This paper introduces two low-complexity FMCW radar algorithms, that is, region of interest (ROI)-based and partial discrete Fourier transform (DFT)-based algorithms. We find the low-complexity condition of each algorithm by analyzing the complexity of these algorithms. From this analysis, it is found that the number of targets is an important factor in determining complexity. Based on this result, the proposed algorithm selects a low-complexity algorithm between two algorithms depending the estimated number of targets and thus achieves lower complexity compared two low-complexity algorithms introduced. The experimental results using real FMCW radar systems show that the proposed algorithm works well in a real environment. Moreover, central process unit time and count of float pointing are shown as a measure of complexity.clutter, there is no Doppler effect. Hence, two beat signals are the same except for noise term and thus the difference of two beat signals contains only noise term. On the other hand, in the case of moving target, there is Doppler effect due to the moving target and thus the difference of them contains the range information of moving target. However, this algorithm might miss the moving target with certain velocity because this algorithm fixedly employs two beat signals. In order to overcome this disadvantage, an FMCW radar algorithm has been proposed by randomly employing two beat signals in [14]. This algorithm effectively avoids missing a target with a certain velocity by randomly selecting two beat signals every frame. In addition, this algorithm performs an angle detection algorithm only if there is a moving target. Therefore, this algorithm reduces the overall complexity. However, this algorithm has still a disadvantage in that it does not detect the velocity of the target. This is because the difference between the two beat signals is used to reduce the complexity of the moving target detection process and in this process, information necessary for the velocity detection of the target is lost.Meanwhile, in [15][16][17][18], low-complexity detection algorithms for FMCW radar have been proposed which intend to reduce the number of FFTs compared to a full-dimension FFT-based FMCW radar algorithm. These algorithms determine a region of interest (ROI), thus reducing the number of inputs in the FFTs for Doppler estimation. However, there is still unnecessary computational complexity in these algorithms, although the complexity is reduced. The number of range bins used as the input in FFTs for Doppler estimation depends on the number of targets. In this algorithm, all chirp signals are used in an FFT to determine the range bins in which peaks exist. However, there is a disadvantage in that the number of range bins calculated in the first FFT for range estimation is too large compared to the number of range bins used as inputs in the FFT fo...

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Section: Low-complexity Algorithm Using Partial Dftmentioning

confidence: 99%

mentioning

confidence: 99%

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Low-Complexity Joint Range and Doppler FMCW Radar Algorithm Based on Number of Targets

Kim

Jin

et al. 2019

Sensors

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“…As a result, the maximum power will appear in undesired area because angular coupling cannot be eliminated. Logarithmic frequency offset has been applied in [5] and [6], which can achieve a maximum value at the target with no maximum value at any other point in the space. However, the signal power will focus on the target point only if t = 0.…”

Section: Introductionmentioning

confidence: 99%

Beamforming of Frequency Diverse Array Radar With Nonlinear Frequency Offset Based on Logistic Map

Wang¹,

Mu²,

Song³

et al. 2018

PIER M

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In this paper, a multi-carrier nonlinear frequency modulation system based on pseudorandom frequency offset is designed. The reduction of the main lobe 3 dB width and the side-lobe peaks cannot be realized simultaneously in conventional beamforming schemes, especially when the number of array elements remains unchanged. The proposed system can reduce the main-lobe 3 dB width and suppressing the side-lobe peaks simultaneously. This is done by adjusting the number of sub-signals, frequency offset coefficient and the inter-element spacing. Then, through time slot processing, signal power is focused on different targets. Numerical simulation experiments are implemented to validate the theoretical analysis of the proposed methodology, and comparisons with other techniques are made.

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“…For instance, a joint range-angle estimation algorithm is presented in [7]; a FDA-MIMO Radar with double pulsewas proposed, with the aim ofimproving the range-angle localization of the target [8]. Another popular area of FDA-MIMO Radar research is related to optimizing nonuniform frequency offset to obtain modified range-angle beampattern or better output performance [11,12,13,14,15]. As discussed in [11], the logarithmic frequency offset allows a single maxima for each beam, ensuring that the signal information at the receiver is of better quality.…”

Section: Introductionmentioning

confidence: 99%

An Improved Adaptive Received Beamforming for Nested Frequency Offset and Nested Array FDA-MIMO Radar

Cheng

Zhang

Bian

et al. 2018

Sensors

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For the conventional FDA-MIMO (frequency diversity array multiple-input-multiple-output) Radar with uniform frequency offset and uniform linear array, the DOFs (degrees of freedom) of the adaptive beamformer are limited by the number of elements. A better performance—for example, a better suppression for strong interferences and a more desirable trade-off between the main lobe and side lobe—can be achieved with a greater number of DOFs. In order to obtain larger DOFs, this paper researches the signal model of the FDA-MIMO Radar with nested frequency offset and nested array, then proposes an improved adaptive beamforming method that uses the augmented matrix instead of the covariance matrix to calculate the optimum weight vectors and can be used to improve the output performances of FDA-MIMO Radar with the same element number or reduce the element number while maintain the approximate output performances such as the received beampattern, the main lobe width, side lobe depths and the output SINR (signal-to-interference-noise ratio). The effectiveness of the proposed scheme is verified by simulations.

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Range-Bins-Based MIMO Frequency Diverse Array Radar With Logarithmic Frequency Offset

Cited by 67 publications

References 8 publications

Low-Complexity Joint Range and Doppler FMCW Radar Algorithm Based on Number of Targets

Low-Complexity Joint Range and Doppler FMCW Radar Algorithm Based on Number of Targets

Beamforming of Frequency Diverse Array Radar With Nonlinear Frequency Offset Based on Logistic Map

An Improved Adaptive Received Beamforming for Nested Frequency Offset and Nested Array FDA-MIMO Radar

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