ISC-array　LDPC　code　matrix　is　evolved　from　SC-array　LDPC　code　matrix　to　improve　compressive　sensing　performance　for　large-size　sparse　signal.　When　q　is　a　prime　number,　no　repetitive　row　occurs　in　the　shift　index　of　SC-array　LDPC　code　matrix,　ISC-array　LDPC　code　matrix　performs　comparably　with　SC-array　LDPC　code　matrix.　When　q　is　a　non-prime　number,　some　repetitive　rows　will　appear　in　the　shift　index　of　SC-array　LDPC　code　matrix,　which　results　in　more　4-cycles　and　decreases　the　compressive　sensing　performance.　ISC-array　LDPC　code　matrix　outperforms　SC-array　LDPC　code　matrix　by　effectively　reducing　or　even　eliminating　the　repetitive　rows　according　to　their　distribution　rule,　4-cycles　are　removed　to　the　maximum　extent.　ISC-array　LDPC　code　matrix　qualifies　for　compressive　sensing　because　of　satisfying　RIP　well.　It　also　has　good　quasi-cyclic　structure　and　supports　arbitrary　code　lengths.　The　simulations　verify　that　the　optimised　ISC-array　LDPC　code　matrix　is　advantageous　in　the　image　reconstruction　quality,　the　robustness　to　noise　performance　and　the　algorithm　complexity.