Abstract
In this article, a joint beam selection and waveform design scheme is proposed to enhance the low intercept probability (LPI) of the distributed radar network for multi-target localization. The core of the strategy is to optimize the beam selection and waveform design of each radar to minimize the total transmit power, such that the predetermined localization accuracy is achieved subject to facilities limitation of the distributed radar network. Based on the priori knowledge of the signal-dependent clutter and the extended target impulse response, the mutual information (MI) between the target impulse response and the echoes at each receiver is derived as a metric to evaluate target localization accuracy. Furthermore, the strategy is formulated as a mixed non-linear Boolean non-convex optimization problem, which is resolved by a two-step technique based on Lagrange multiplier and particle swarm optimization (PSO). Finally, the simulation results verify the effectiveness and rationality of the proposed scheme.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Fishler, E., Haimovich, A., Blum, R.S., et al.: Spatial diversity in radars-models and detection performance. IEEE Trans. Signal Process. 54(3), 823–838 (2006)
Fishler, E., Haimovich, A., Blum, R., et al.: MIMO radar: An idea whose time has come. In: Proceedings of the IEEE 2004 Radar Conference, Radar Conference, pp. 71–78 (2004)
Shi, C., Wang, F., Sellathurai, M., et al.: Power Minimization-based robust OFDM radar waveform design for radar and communication systems in coexistence. IEEE Trans. Signal Process. 66(5), 1316–1330 (2018)
Shi, C., Wang, F., Salous, S., et al.: Joint subcarrier assignment and power allocation strategy for integrated radar and communications system based on power minimization. IEEE Sens. J. 19(23), 11167–11179 (2019)
Godrich, H., Petropulu, A.P., Poor, H.V.: Power allocation strategies for target localization in distributed multiple-radar architectures. IEEE Trans. Signal Process. 59(7), 3226–3240 (2011)
David, L. Jr.: Introduction to Stealth Systems (2004)
Godrich, H., Haimovich, A.M., Blum, R.S.: Target localization accuracy gain in MIMO radar-based systems. IEEE Trans. Inform. Theory 56(6), 2783–2803 (2010)
Garcia, N., Haimovich, A.M., Coulon, M., et al.: Resource allocation in MIMO radar with multiple targets for non-coherent localization. IEEE Trans. Signal Process. 62(10), 2656–2666 (2014)
Ma, Y., Chen, S., Xing, C., et al.: Decomposition optimization algorithms for distributed radar systems. IEEE Trans. Signal Process. 64(24), 6443–6458 (2016)
Yang, Y., Blum, R.S.: MIMO radar waveform design based on mutual information and minimum mean-square error estimation. IEEE Trans. Aerosp. Electron. Syst. 43(1), 330–343 (2007)
Bell, M.R.: Information theory and radar waveform design. IEEE Trans. Inform. Theory 39(5), 1578–1597 (1993)
Leshem, A., Naparstek, O., Nehorai, A.: Information theoretic adaptive radar waveform design for multiple extended targets. IEEE J. Selected Topics Signal Process. 1(1), 42–55 (2007)
Tang, B., Tang, J.: Joint design of transmit waveforms and receive filters for MIMO radar space-time adaptive processing. IEEE Trans. Signal Process. 64(18), 4707–4722 (2016)
Shi, C., Wang, F., Sellathurai, M., et al.: Low probability of intercept-based distributed MIMO radar waveform design against barrage jamming in signal-dependent clutter and coloured noise. IET Signal Process. 13(4), 415–423 (2019)
Shi, C., Wang, F., Sellathurai, M., et al.: Robust transmission waveform design for distributed multiple-radar systems based on low probability of intercept. ETRI J. 38(1), 70–80 (2016)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Zhang, W., Shi, C., Zhou, J., Yan, J. (2022). Low Probability of Intercept-Based Joint Beam Selection and Waveform Design for Multiple Target Localization in Distributed Radar Network. In: Wu, M., Niu, Y., Gu, M., Cheng, J. (eds) Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021). ICAUS 2021. Lecture Notes in Electrical Engineering, vol 861. Springer, Singapore. https://doi.org/10.1007/978-981-16-9492-9_273
Download citation
DOI: https://doi.org/10.1007/978-981-16-9492-9_273
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-9491-2
Online ISBN: 978-981-16-9492-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)