5D Parameter Estimation of Near-Field Sources Using Hybrid Evolutionary Computational Techniques

Table 3

Estimation accuracy of 3 sources using 13 sensors.

Scheme	𝑎1	𝑓1; (MHz)	𝑟1; (𝜆)	𝜃1; (rad)	𝜙1; (rad)	𝑎2	𝑓2; (MHz)	𝑟2; (𝜆)	𝜃2; (rad)	𝜙2; (rad)	𝑎3	𝑓3; (MHz)	𝑟3; (𝜆)	𝜃3; (rad)	𝜙3; (rad)
Desired values	3.0000	40.0000	2.5000	0.4363	1.0472	1.0000	70.0000	5.0000	0.7330	2.1817	7.0000	50.0000	0.2000	1.3963	3.5779
IPA	3.0557	46.9871	2.5558	0.4920	1.1030	1.0557	64.3425	5.0558	0.7888	2.2376	7.0558	57.0123	0.2557	1.4522	3.6337
PS	3.0338	45.1204	2.5338	0.4702	1.0810	1.0338	75.8734	5.0339	0.7668	2.2154	7.0339	55.8693	0.2339	1.4301	3.6117
GA	3.0092	43.7894	2.5093	0.4456	1.0565	1.0092	66.5682	5.0093	0.7423	2.1908	7.0092	54.1298	0.2093	1.4057	3.5871
GA-IPA	3.0065	41.2187	2.5066	0.4428	1.0538	1.0065	71.2654	5.0067	0.7396	2.1883	7.0066	51.2879	0.2067	1.4029	3.5847
GA-PS	3.0024	40.8903	2.5022	0.4388	1.0497	1.0024	70.8931	5.0025	0.7356	2.1841	7.0021	50.7969	0.2022	1.3986	3.5802