Threshold extension of the modified FBLP algorithm

In this paper, two methods are presented for extending the threshold characteristics of the modified forward-backward linear prediction (MFBLP) algorithm due to Tufts and Kumaresan.
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This algorithm estimates angles of arrival of plane waves onto linear arrays of sensors. The first technique proposed, referred to as modified-modified FBLP (M
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FBLP), offers 4- to 6-dB threshold extensions over MFBLP for a large number of snapshots, for a particular set of simulation parameters. The second technique, called optimized FBLP (opt-FBLP), offers similar threshold extensions when the number of snapshots is low. The opt-FBLP method is most successful when the number of incident signal components K is 2. The method is therefore viewed as being particularly applicable to the low-angle tracking problem in radar, since it has been shown that there is strong justification to fix the value of K at 2 in this situation. The increase in computational complexity required for M
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FBLP over MFBLP is virtually negligible. For opt-FBLP, the increase in computational complexity is minimal for K = 2.