How can I eliminate Inaccurate/solved status?

My original SDP problem is as following

I build the following model to solve the above SDP problem.

the sizes of array gbar_V, cbar_F, e_V are all equal to [count*1] ;
thetabar, Nbar are real number.
the sizes of matrix A_VV, e_V*e_V’ are all equal to [count*count] .

%======================================

n = 1+count;

M = [0, gbar_V’; gbar_V, zeros(count)];

R1 = [-2*thetabar, cbar_F’; cbar_F, A_VV];
R2 = [-2*Nbar, e_V’; e_V, zeros(count)];

R3 = [-Nbar

*Nbar, zeros(count,1)’; zeros(count,1), e_V*e_V’];

cvx_begin sdp

variable Y(n,n) semidefinite

maximize(sum(dot(M,Y))+gbar)

subject to

diag(Y) == 1

sum(dot(R1,Y)) <= 0

sum(dot(R2,Y)) == 0

sum(dot(R3,Y)) == 0

cvx_end

%======================================

when the count is small (count = 151),

the Status showed “Solved” ;

But when the count is increasing to 1001 (count = 1001),

the Status showed “Inaccurate/solved” ;

How can I eliminate Inaccurate/solved status?

If you have any questions about the model, please feel free to ask.

Thank you！