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In this paper, a two-step model is proposed, to design an optimal radar waveform to improve the detection of point like targets over a glistening surface. In this respect, a non adaptive waveform is first transmitted and a constrained Generalized Likelihood Ratio Test (GLRT) detector is used at the receiver, which exploits multipath returns in the range cell under test, by modelling the target echo as a superposition of the direct plus the multipath returns. Besides, the clutter returns are assumed to be compound-Gaussian. The Fixed Point Estimate (FPE) algorithm is used in order to estimate the clutter in the range cell under test through the secondary data collected from the out-of-bin cells. The clutter estimates are used to design an adaptive waveform for the next transmission, in order to suppress the clutter coming from adjacent cells. The proposed GLRT is also used at the end of the second transmission for the final decision. The performance analysis results show that the proposed algorithm increases the Signal-to-Clutter Ratio (SCR) of the received signal.

The problem of detecting point like targets over a glistening surface is investigated in this manuscript, and the design of an optimal waveform through a two-step process for a multipath exploitation radar is proposed. In the first step, a non-adaptive waveform is transmitted and a constrained Generalized Likelihood Ratio Test (GLRT) detector is deduced at reception which exploits multipath returns in the range cell under test by modelling the target echo as a superposition of the direct plus the multipath returns. Under the hypothesis of heterogeneous environments, thus by assuming a compound-Gaussian distribution for the clutter return, this latter is estimated in the range cell under test through the secondary data, which are collected from the out-of-bin cells. The Fixed Point Estimate (FPE) algorithm is applied in the clutter estimation, then used to design the adaptive waveform for transmission in the second step of the algorithm, in order to suppress the clutter coming from the adjacent cells. The proposed GLRT is also used at the end of the second transmission for the final decision. Extensive performance evaluation of the proposed detector and adaptive waveform for various multipath scenarios is presented. The performance analysis prove that the proposed method improves the Signal-to-Clutter Ratio (SCR) of the received signal, and the detection performance with multipath exploitation.

The problem of detecting point like targets over a glistening surface is investigated in this manuscript, and the design of an optimal waveform through a two-step process for a multipath exploitation radar is proposed. In the first step, a non-adaptive waveform is transmitted and a constrained Generalized Likelihood Ratio Test (GLRT) detector is deduced at reception which exploits multipath returns in the range cell under test by modelling the target echo as a superposition of the direct plus the multipath returns. Under the hypothesis of heterogeneous environments, thus by assuming a compound-Gaussian distribution for the clutter return, this latter is estimated in the range cell under test through the secondary data, which are collected from the out-of-bin cells. The Fixed Point Estimate (FPE) algorithm is applied in the clutter estimation, then used to design the adaptive waveform for transmission in the second step of the algorithm, in order to suppress the clutter coming from the adjacent cells. The proposed GLRT is also used at the end of the second transmission for the final decision. Extensive performance evaluation of the proposed detector and adaptive waveform for various multipath scenarios is presented. The performance analysis prove that the proposed method improves the Signal-to-Clutter Ratio (SCR) of the received signal, and the detection performance with multipath exploitation.

In this paper, a two-step model is proposed, to design an optimal radar waveform to improve the detection of point like targets over a glistening surface. In this respect, a non adaptive waveform is first transmitted and a constrained Generalized Likelihood Ratio Test (GLRT) detector is used at the receiver, which exploits multipath returns in the range cell under test, by modelling the target echo as a superposition of the direct plus the multipath returns. Besides, the clutter returns are assumed to be compound-Gaussian. The Fixed Point Estimate (FPE) algorithm is used in order to estimate the clutter in the range cell under test through the secondary data collected from the out-of-bin cells. The clutter estimates are used to design an adaptive waveform for the next transmission, in order to suppress the clutter coming from adjacent cells. The proposed GLRT is also used at the end of the second transmission for the final decision. The performance analysis results show that the proposed algorithm increases the Signal-to-Clutter Ratio (SCR) of the received signal.