Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Wireless sensor networks (WSNs) often operate under harsh conditions requiring robustness from the estimator.  develops a distributed unbiased finite impulse response (UFIR) filter based on average consensus as a more robust alternative to the Kalman filter (KF). Unlike the distributed KF, the distributed UFIR filter typically requires only one consensus filter and completely ignores the noise statistics and initial values. As an example,  consider a vehicle travelling along a circular trajectory under unpredictable impacts and errors in the noise statistics. Better performance of the UFIR filter is demonstrated under diverse operation conditions.
['Miguel Vazquez-Olguin', 'Yuriy S. Shmaliy', 'Oscar Ibarra-Manzano']
I am writing a research paper on a idea Design of blind distributed UFIR filter based on average consensus for WSNs
[{"from": "human", "value": "I am writing a research paper on a idea Design of blind distributed UFIR filter based on average consensus for WSNs"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Wireless sensor networks (WSNs) often operate under harsh conditions requiring robustness from the estimator.  develops a distributed unbiased finite impulse response (UFIR) filter based on average consensus as a more robust alternative to the Kalman filter (KF). Unlike the distributed KF, the distributed UFIR filter typically requires only one consensus filter and completely ignores the noise statistics and initial values. As an example,  consider a vehicle travelling along a circular trajectory under unpredictable impacts and errors in the noise statistics. Better performance of the UFIR filter is demonstrated under diverse operation conditions."}]