Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a new blind direction-of-departure (DOD), direction-of-arrival (DOA) and polarization estimation algorithm for bistatic polarimetric multiple-input multiple-output radar using dimension reduction multiple signal classification. The proposed algorithm obtains the initial estimation of DOD via the signal subspace, then utilizes one-dimension (1-D) local searching to estimate more accurate DOD according to the initial estimation of DOD, and finally joint estimates DOA and polarization by means of the receive polarization steering vector. The proposed algorithm, which convert multiple-dimension peak searching to 1-D local searching, can avoid the high computation cost. Simulation results show that the proposed algorithm has better angle and polarization parameter estimation performance than both estimation of signal parameters via rotational invariance technique algorithm and trilinear decomposition algorithm. Furthermore, the proposed algorithm can obtain automatically paired multi-dimensional parameter estimation.
['Ming Zhou', 'Xiaofei Zhang']
I am writing a research paper on a idea Joint Estimation of Angle and Polarization for Bistatic MIMO Radar with Polarization Sensitive Array Using Dimension Reduction MUSIC
[{"from": "human", "value": "I am writing a research paper on a idea Joint Estimation of Angle and Polarization for Bistatic MIMO Radar with Polarization Sensitive Array Using Dimension Reduction MUSIC"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a new blind direction-of-departure (DOD), direction-of-arrival (DOA) and polarization estimation algorithm for bistatic polarimetric multiple-input multiple-output radar using dimension reduction multiple signal classification. The proposed algorithm obtains the initial estimation of DOD via the signal subspace, then utilizes one-dimension (1-D) local searching to estimate more accurate DOD according to the initial estimation of DOD, and finally joint estimates DOA and polarization by means of the receive polarization steering vector. The proposed algorithm, which convert multiple-dimension peak searching to 1-D local searching, can avoid the high computation cost. Simulation results show that the proposed algorithm has better angle and polarization parameter estimation performance than both estimation of signal parameters via rotational invariance technique algorithm and trilinear decomposition algorithm. Furthermore, the proposed algorithm can obtain automatically paired multi-dimensional parameter estimation."}]