Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: For pt.I see ibid., vol.40, no.5 p.1168 (1992). For the problem of estimating time difference of arrival (TDOA) of radio waves impinging on a pair of antennas for the purpose of passively locating the source of a communications or telemetry signal in the presence of interfering signals and noise, a new class of signal-selective algorithms that are highly tolerant to interference and noise is introduced. By virtue of the fact that the multiple-signal resolution problem is essentially eliminated by the signal selectivity of the algorithms, performance advantages are gained. The new algorithms exhibit their signal selectivity regardless of the extent of temporal, spectral, or spatial overlap among received signals, yet their computational complexity is no more than that of conventional algorithms. Algorithmic implementations of some of the new methods are given, and theoretical arguments given in pt.I of this work are corroborated by quantitative evaluation of their performance. >
['Chih-Kang Chen', 'William A. Gardner']
I am writing a research paper on a idea Signal-selective time-difference of arrival estimation for passive location of man-made signal sources in highly corruptive environments. I am writing a research paper on a idea II. I am writing a research paper on a idea Algorithms and performance
[{"from": "human", "value": "I am writing a research paper on a idea Signal-selective time-difference of arrival estimation for passive location of man-made signal sources in highly corruptive environments. I am writing a research paper on a idea II. I am writing a research paper on a idea Algorithms and performance"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: For pt.I see ibid., vol.40, no.5 p.1168 (1992). For the problem of estimating time difference of arrival (TDOA) of radio waves impinging on a pair of antennas for the purpose of passively locating the source of a communications or telemetry signal in the presence of interfering signals and noise, a new class of signal-selective algorithms that are highly tolerant to interference and noise is introduced. By virtue of the fact that the multiple-signal resolution problem is essentially eliminated by the signal selectivity of the algorithms, performance advantages are gained. The new algorithms exhibit their signal selectivity regardless of the extent of temporal, spectral, or spatial overlap among received signals, yet their computational complexity is no more than that of conventional algorithms. Algorithmic implementations of some of the new methods are given, and theoretical arguments given in pt.I of this work are corroborated by quantitative evaluation of their performance. >"}]