Weight Matrix-Based Representation of Sub-Optimum Disturbance Cancellation Filters

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Author(s)

Venu Dunde 1,* Koteswara Rao NV 2

1. Osmania University, Dept.of ECE, Hyderabad, 500 007, India

2. CBIT, Dept.of ECE, Hyderabad, 500 007, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2019.10.02

Received: 11 Apr. 2019 / Revised: 1 May 2019 / Accepted: 9 May 2019 / Published: 8 Oct. 2019

Index Terms

Passive radar, Weight matrix, Clutter attenuation, Computational complexity

Abstract

The disturbance cancellation techniques are investigated in this paper for Passive Bistatic Radars. The conventional procedure is to compute a clean signal by iteratively constructing an error vector from the residual of the surveillance samples after subtraction of a linear combination of clutters samples. A weight vector is eventually extracted in pure block algorithms, while a weight matrix is computed in iterative schemes. It is illustrated in this paper that the computed weight matrix in the latter case contains valuable information describing the clutters properties. The weight matrix-based disturbance attenuation technique is then innovated and its effectiveness is compared to the conventional error-based procedure in the test bed of several available iterative algorithms. Moreover, a revision of the FBLMS algorithm is presented to cover the case of complex input signals.

Cite This Paper

VenuDunde, Koteswara Rao NV, "Weight Matrix-Based Representation of Sub-Optimum Disturbance Cancellation Filters", International Journal of Intelligent Systems and Applications(IJISA), Vol.11, No.10, pp.15-24, 2019. DOI:10.5815/ijisa.2019.10.02

Reference

[1]Griffiths HD, Baker CJ. An Introduction to Passive Radar. Artech House; 2017.
[2]Lauri A, Colone F, Cardinali R, Bongioanni C, Lombardo P. Analysis and emulation of FM radio signals for passive radar. 2007 IEEE Aerosp. Conf., 2007, p. 2170–2179.
[3]Colone F, Cardinali R, Lombardo P. Cancellation of clutter and multipath in passive radar using a sequential approach. Radar, 2006 IEEE Conf., Verona: 2006.
[4]Colone F, O’hagan DW, Lombardo P, Baker CJ. A multistage processing algorithm for disturbance removal and target detection in passive bistatic radar. IEEE Trans Aerosp Electron Syst 2009;45:698–722.
[5]Ansari F, Taban MR, Gazor S. A novel sequential algorithm for clutter and direct signal cancellation in passive bistatic radars. EURASIP J Adv Signal Process 2016;134.
[6]Colone F, Palmarini C, Martelli T, Tilli E. Sliding extensive cancellation algorithm for disturbance removal in passive radar. IEEE Trans Aerosp Electron Syst 2016;52:1309–26.
[7]Haykin SS. Adaptive filter theory. 5th ed. Pearson; 2013.
[8]Garry JL, Smith GE, Baker CJ. Direct signal suppression schemes for passive radar. Signal Process. Symp. (SPSympo), 2015, Poland: 2015, p. 1–5.
[9]Garry JL, Baker CJ, Smith GE. Evaluation of direct signal suppression for passive radar. IEEE Trans Geosci Remote Sens 2017;55:3786–99.
[10]Palmer JE, Searle SJ. Evaluation of adaptive filter algorithms for clutter cancellation in passive bistatic radar. 2012 IEEE Radar Conf., USA: 2012, p. 493–8.
[11]Peto T, Seller R. Time domain filter comparison in passive radar systems. 18th Int. Radar Symp., Czech Republic: 2017, p. 1–10.
[12]Cardinali R, Colone F, Ferretti C, Lombardo P. Comparison of clutter and multipath cancellation techniques for passive radar. IEEE Natl. Radar Conf., 2007, p. 469–74.
[13]Ma Y, Shan T, Zhang YD, Amin MG, Tao R, Feng Y. A novel two-dimensional sparse-weight NLMS filtering scheme for passive bistatic radar. IEEE Geosci Remote Sens Soc 2016;13:676–80.
[14]Wang F. Direct signal recovery and masking effect removal exploiting sparsity for passive bistatic radar. IET Int. Radar Conf. 2015, China: 2015.
[15]Lombardo P, Colone F. Advanced processing methods for passive bistatic radar systems. Princ Mod Radar Adv Radar Tech Melvin, WL, Scheer, JA, Eds 2012.
[16]Dunde V, NV KR. Weight matrix-based least mean square algorithm for target detection in passive radars. Int J Electron Commun n.d.