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Fig 1.

Adaptive beamforming block diagram.

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Fig 1 Expand

Fig 2.

Proposed model block diagram.

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Fig 2 Expand

Table 1.

Summary of algorithm.

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Table 1 Expand

Fig 3.

a. Convergence performance. b. MSE performance.

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Fig 3 Expand

Fig 4.

a. MSE learning curves of the LFLMS with a fractional value of 0.9 and SNR of 10dB. b. MSE learning curves of the LFLMS with a fractional value of 0.9 and SNR of 15dB. c. MSE learning curves of the LFLMS with a fractional value of 0.9 and SNR of 20dB.

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Fig 4 Expand

Fig 5.

Comparison of scatter diagrams for the LMS, FLMS, and LFLMS.

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Fig 5 Expand

Fig 6.

a. Beam pattern SNR = 15, β = 0.9, μ = 0.01. b. Polar beam pattern for SNR = 15dB, β = 0.9, and μ = 0.01

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Fig 6 Expand

Table 2.

Values of the parameters employed.

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Table 2 Expand

Table 3.

Convergence comparisons of LMS and LFLMS for different step sizes and SNR values.

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Table 3 Expand

Table 4.

Convergence comparisons of FLMS and LFLMS for different step sizes and SNR values.

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Table 4 Expand

Table 5.

MSE performance comparison of LMS and LFLMS for different step sizes and SNR values.

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Table 5 Expand

Table 6.

MSE performance comparison of FLMS and LFLMS for different step sizes and SNR values.

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Table 6 Expand