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A Novel Translated Coprime Array Configuration for Moving Platform in Direction-of-Arrival Estimation

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Abstract

This paper proposes a novel coprime array configuration, which achieves more degrees of freedom (DOFs) than the existing coprime arrays for half wavelength array motion in direction-of-arrival estimation. Generally, in a moving coprime array, there exists a large number of redundant lags in its difference coarray, which limits the number of achievable DOFs. In the proposed configuration, we place the sensors of the array strategically so that the redundant lags decrease. The mathematical expression for the number of consecutive lags of the proposed moving coprime array is provided in the paper. There will be a substantial improvement in the number of consecutive DOFs of the proposed moving coprime array over the existing moving coprime arrays. Simulations are carried out to demonstrate the effectiveness of the proposed coprime array over the existing coprime arrays in moving platform.

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References

  1. H. Krim, M. Viberg, Two decades of array signal processing research: the parametric approach. IEEE Signal Process. Mag. 13, 67–94 (1996)

    Article  Google Scholar 

  2. S. Li, X.P. Zhang, A novel moving sparse array geometry with increased degrees of freedom, in Proceedings of the IEEE International Conference on Acoustics Speech Signal Process (ICASSP, 2020), pp. 4767–4771

  3. S. Li, X.P. Zhang, Dilated arrays: a family of sparse arrays with increased uniform degrees of freedom and reduced mutual coupling on a moving platform. IEEE Trans. Signal Process. 69, 3367–3382 (2021)

    Article  MathSciNet  MATH  Google Scholar 

  4. C.L. Liu, P.P. Vaidyanathan, Remarks on the spatial smoothing step in coarray MUSIC. IEEE Signal Process Lett. 22(9), 1438–1442 (2015)

    Article  Google Scholar 

  5. C.L. Liu, P.P. Vaidyanathan, Super nested arrays: linear sparse arrays with reduced mutual coupling-Part I: fundamentals. IEEE Trans. Signal Process. 64(15), 3997–4012 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  6. C.L. Liu, P. Vaidyanathan, Cramer–Rao bounds for coprime and other sparse arrays, which find more sources than sensors. Digit. Signal Process. 61, 43–61 (2017)

    Article  Google Scholar 

  7. C.L. Liu, P. Vaidyanathan, Maximally economic sparse arrays and cantor arrays, in IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP, 2017), pp. 1–5

  8. J. Liu, Y. Zhang, Y. Lu, S. Ren, S. Cao, Augmented nested arrays with enhanced DOF and reduced mutual coupling. IEEE Trans. Signal Process. 65(21), 5549–5563 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  9. P. Pal, P.P. Vaidyanathan, Nested arrays: a novel approach to array processing with enhanced degrees of freedom. IEEE Trans. Signal Process. 58(8), 4167–4181 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  10. P. Pal, P.P. Vaidyanathan, Coprime sampling and the MUSIC algorithm, in 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), (IEEE, 2011), pp. 289–294

  11. R.K. Patra, A.S. Dhar, A novel nested array for real-valued sources exploiting array motion. IEEE Signal Process. Lett. 28, 1375–1379 (2021)

    Article  Google Scholar 

  12. G. Qin, M.G. Amin, Y.D. Zhang, Analysis of coprime arrays on moving platform, in Proceedings of the IEEE International Conference on Acoustics Speech Signal Process (ICASSP, 2019), pp. 4205–4209

  13. G. Qin, M.G. Amin, Y.D. Zhang, DOA estimation exploiting sparse array motions. IEEE Trans. Signal Process. 67(11), 3013–3027 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  14. S. Qin, Y.D. Zhang, M.G. Amin, Generalized coprime array configurations for direction-of-arrival estimation. IEEE Trans. Signal Process. 63(6), 1377–1390 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  15. J. Ramirez, J. Krolik, Multiple source localization with moving co-prime arrays, in Proceedings of the IEEE International Conference on Acoustics Speech Signal Process (ICASSP, 2015), pp. 2374–2378

  16. J. Ramirez, J. Krolik, Synthetic aperture processing for passive co-prime linear sensor arrays. Digit. Signal Process. 61, 62–75 (2017)

    Article  Google Scholar 

  17. J. Ramirez, J. Odom, J. Krolik, Exploiting array motion for augmentation of co-prime arrays, in IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM, 2014), pp. 525–528

  18. A. Raza, W. Liu, Q. Shen, Thinned coprime array for second-order difference co-array generation with reduced mutual coupling. IEEE Trans. Signal Process. 67(8), 2052–2065 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  19. R. Roy, T. Kailath, ESPRIT—estimation of signal parameters via rotational invariance techniques. IEEE Trans. Acoust. Speech Signal Process. 37(7), 984–995 (1989)

    Article  MATH  Google Scholar 

  20. R. Schmidt, Multiple emitter location and signal parameter estimation. IEEE Trans Antennas Propag. 34(3), 276–280 (1986)

    Article  Google Scholar 

  21. T.J. Shan, M. Wax, T. Kailath, On spatial smoothing for direction-of-arrival estimation of coherent signals. IEEE Trans. Acoust. Speech Signal Process. 33(4), 806–811 (1985)

    Article  Google Scholar 

  22. P.P. Vaidyanathan, P. Pal, Sparse sensing with co-prime samplers and arrays. IEEE Trans. Signal Process. 59(2), 573–586 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  23. X. Yang, Y. Wang, P. Charge, Improved coprime linear array configuration for moving platform in DOA estimation. IEEE Commun. Lett. 25(2), 470–473 (2021)

    Article  Google Scholar 

  24. Z. Zheng, W.Q. Wang, Y. Kong, Y.D. Zhang, M.I.S.C. Array, A new sparse array design achieving increased degrees of freedom and reduced mutual coupling effect. IEEE Trans. Signal Process. 67(7), 1728–1741 (2019)

    Article  MathSciNet  MATH  Google Scholar 

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Acknowledgements

The authors convey the deepest gratitude to ITR Director for the help and support.

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Correspondence to Rajen Kumar Patra.

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Appendices

Appendix A

1.1 Proof of Proposition 1

Let us represent the forward cross-difference set and backward cross-difference set of the new translated configuration by \(L_{cd_{n}}\) and \(L^-_{cd_{n}}\), respectively. So, we have \(L_{cd_{n}}=\frac{M}{2}p_1+ Nm-\frac{M}{2}n, 0\le m \le \textit{M}-1,0\le n \le \textit{N}-1\). \(L_{cd}\) of Configuration-I has positive consecutive lags up to \(\frac{MN}{2}+\frac{M}{2}-1\). Hence, \(L_{cd_{n}}\) of the new translated configuration will be hole-free from \(\frac{M}{2}p_1+1\) to \(\frac{MN}{2}+\frac{M}{2}-1+\frac{M}{2}p_1\).

Now, let us look into the positive holes of \(L_{cd_{n}}\) up to \(\frac{M}{2}p_1\). The negative holes of \(L_{cd}\) in Configuration-I are located at -\((a_1\frac{M}{2}+b_1N), a_1\ge 0,b_1>0\) [14]. So, in the new configuration, the locations of the positive holes of \(L_{cd_{n}}\) up to \(\frac{M}{2}p_1\) will be on \(\frac{M}{2}p_1-(a_1\frac{M}{2}+b_1N),a_1\ge 0,b_1>0,a_1\frac{M}{2}+b_1N<\frac{M}{2}p_1\). By similar logic, we can get the locations of positive holes of \(L^-_{cd_{n}}\) up to \(\frac{M}{2}p_1\). The locations of these holes will be on \((c_1\frac{M}{2}+d_1N)-\frac{M}{2}p_1,c_1\ge 0,d_1>0,c_1\frac{M}{2}+d_1N>\frac{M}{2}p_1\).

Let us investigate the common holes between \(L_{cd_{n}}\) and \(L^-_{cd_{n}}\) up to \(\frac{M}{2}p_1\). For common holes, we have

$$\begin{aligned} \frac{M}{2}p_1-(a_1\frac{M}{2}+b_1N)&= (c_1\frac{M}{2}+d_1N)-\frac{M}{2}p_1,\\ a_1&\ge 0,b_1>0,c_1\ge 0,d_1>0\nonumber . \end{aligned}$$
(6)

Simplifying (6), we get

$$\begin{aligned} \frac{M/2}{N}=\frac{b_1+ d_1}{2p_1-(a_1+c_1)}. \end{aligned}$$
(7)

Now, as \(2p_1\le (N-1)\) and \(a_1\ge 0,c_1\ge 0\), \(2p_1-(a_1+c_1)\) will always be less than N. So, (7) cannot be satisfied. Hence, no common hole is there between \(L_{cd_{n}}\) and \(L^-_{cd_{n}}\) in that specified range. Thus, the difference coarray of the new configuration has no holes up to \(\frac{M}{2}p_1\). Hence, the difference coarray of the new translated configuration is hole-free up to \(\frac{MN}{2}+\frac{M}{2}-1+\frac{M}{2}p_1\), as we have already proved that \(L_{cd_{n}}\) of the new configuration is hole-free from \(\frac{M}{2}p_1+1\) to \(\frac{MN}{2}+\frac{M}{2}-1+\frac{M}{2}p_1\).

Appendix B

1.1 Proof of Proposition 2

If we proceed the same way as the proof of Proposition 1, to find the common holes between \(L_{cd_{n}}\) and \(L^-_{cd_{n}}\) up to \(\frac{M}{2}(\frac{N+1}{2})\) in the new configuration, the corresponding equation of (7) will be

$$\begin{aligned} \frac{M/2}{N}=\frac{b_2+ d_2}{N+1-(a_2+c_2)}, a_2\ge 0,b_2>0,c_2\ge 0,d_2>0. \end{aligned}$$
(8)

Here, (8) will be satisfied whenever \(N+1-(a_2+c_2)=N\) (as \(a_2\ge 0,c_2\ge 0\)). Hence, there will be at least one hole in the new configuration up to \(\frac{M}{2}(\frac{N+1}{2})\).

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Patra, R.K., Dhar, A.S. A Novel Translated Coprime Array Configuration for Moving Platform in Direction-of-Arrival Estimation. Circuits Syst Signal Process 42, 2494–2505 (2023). https://doi.org/10.1007/s00034-022-02231-z

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